TW201329419A - Shape measurement device, structure manufacturing system, shape measurement method, structure manufacturing method, shape measurement program, and computer-readable recording medium - Google Patents
Shape measurement device, structure manufacturing system, shape measurement method, structure manufacturing method, shape measurement program, and computer-readable recording medium Download PDFInfo
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- G—PHYSICS
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- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
- G01B11/25—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object
- G01B11/2513—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object with several lines being projected in more than one direction, e.g. grids, patterns
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
- G06T7/521—Depth or shape recovery from laser ranging, e.g. using interferometry; from the projection of structured light
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- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10141—Special mode during image acquisition
- G06T2207/10152—Varying illumination
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
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Abstract
Description
本發明係關於一種形狀測定裝置、構造物製造系統、形狀測定方法、構造物製造方法、形狀測定程式產品、及電腦可讀取之記錄媒體。 The present invention relates to a shape measuring device, a structure manufacturing system, a shape measuring method, a structure manufacturing method, a shape measuring program product, and a computer readable recording medium.
作為以非接觸方式測定測定對象之面形狀(三維形狀)之方法,已知例如相位偏移法之圖案投影型之形狀測定裝置(例如,參照專利文獻1)。在此形狀測定裝置,將具有正弦波狀之強度分布之格子圖案投影至測定對象物上,以一定間距使該格子圖案之相位變化並同時反覆拍攝測定對象物。將藉此獲得之複數個攝影影像(亮度變化資料)代入既定運算式,藉此求出與測定測定對象之面形狀對應變化之格子圖案之相位分布(相位影像),將該相位影像重建(相位連接)後,換算成測定對象物之高度分布(高度影像)。 As a method of measuring the surface shape (three-dimensional shape) of the measurement target by a non-contact method, for example, a pattern projection type shape measuring device of the phase shift method is known (for example, see Patent Document 1). In the shape measuring device, a lattice pattern having a sinusoidal intensity distribution is projected onto the object to be measured, and the phase of the lattice pattern is changed at a constant pitch, and the object to be measured is repeatedly photographed. By substituting a plurality of photographic images (brightness change data) obtained thereby by a predetermined calculation formula, a phase distribution (phase image) of a lattice pattern corresponding to a change in the surface shape of the measurement target is obtained, and the phase image is reconstructed (phase After the connection, it is converted into the height distribution (height image) of the measurement object.
專利文獻1:日本特開2009-180689號公報 Patent Document 1: Japanese Laid-Open Patent Publication No. 2009-180689
然而,根據本申請發明人之想法,若在拍攝投影有相位不同之格子圖案之複數個攝影影像時產生晃動,可考量為在三維形狀之測定值產生誤差。因此,較佳為,判定在攝影影像是否產生晃動。 However, according to the idea of the inventor of the present application, if a plurality of photographic images in which lattice patterns having different phases are projected are generated, it is considered that an error occurs in the measured value of the three-dimensional shape. Therefore, it is preferable to determine whether or not the photographic image is shaken.
本發明係有鑑於上述狀況而構成,提供一種判定在用 以測定測定對象之形狀之攝影影像是否存在晃動之形狀測定裝置、構造物製造系統、形狀測定方法、構造物製造方法、形狀測定程式。 The present invention is constructed in view of the above circumstances, and provides a determination to be used. A shape measuring device, a structure manufacturing system, a shape measuring method, a structure manufacturing method, and a shape measuring program for measuring whether or not the photographic image of the shape of the measurement object is shaken.
為了解決上述課題,本發明之形狀測定裝置,具備:攝影部,產生拍攝測定對象後之攝影影像;照射部,從與攝影部拍攝之方向不同方向對該測定對象照射具有既定強度分布之照明光,以使攝影部所拍攝後之影像被拍攝為在該測定對象已投影格子圖案之影像;特徵量算出部,從攝影影像算出表示在攝影影像存在之晃動程度之特徵量;以及判定部,根據特徵量判定在攝影影像是否存在晃動。 In order to solve the problem, the shape measuring apparatus according to the present invention includes: an imaging unit that generates a captured image after the measurement target is irradiated; and an illumination unit that irradiates the measurement target with illumination light having a predetermined intensity distribution from a direction different from a direction in which the imaging unit is photographed. The image obtained by the photographing unit is captured as an image in which the grid pattern is projected on the measurement target; the feature amount calculation unit calculates a feature amount indicating the degree of shaking of the imaged image from the captured image; and the determination unit The feature amount determines whether there is a shake in the photographic image.
又,本發明之構造物製造系統,包含:設計裝置,製作關於構造物之形狀之設計資訊;成形裝置,根據設計資訊製作構造物;上述形狀測定裝置,根據攝影影像測定製作出之構造物之形狀;以及檢查裝置,比較測定所得之形狀資訊與設計資訊。 Further, the structure manufacturing system of the present invention includes: a design device that creates design information on the shape of the structure; a molding device that creates a structure based on the design information; and the shape measuring device that measures the structure produced based on the photographic image. Shape; and inspection device to compare the shape information and design information obtained by the measurement.
又,本發明之形狀測定方法,具備產生拍攝測定對象後之攝影影像之攝影部,與從與攝影部拍攝之方向不同方向對該測定對象照射具有既定強度分布之照明光、以使攝影部所拍攝後之影像被拍攝為在該測定對象已投影格子圖案之影像之照射部之形狀測定裝置,具備:從攝影影像算出表示在攝影影像存在之晃動程度之特徵量之步驟;以及根據特徵量判定在攝影影像是否存在晃動之步驟。 Further, the shape measuring method of the present invention includes an imaging unit that generates a captured image after the measurement target, and irradiates the measurement target with illumination light having a predetermined intensity distribution in a direction different from the direction in which the imaging unit is photographed, so that the imaging unit a shape measuring device that captures an image of the image of the image in which the measurement target has been projected, and includes a step of calculating a feature amount indicating the degree of shaking of the imaged image from the captured image; and determining the feature amount based on the feature amount The step of shaking the photographic image.
又,本發明之構造物製造方法,包含:製作關於構造物之形狀之設計資訊之動作;根據設計資訊製作構造物之 動作;根據使用上述形狀測定方法產生之攝影影像測定製作出之構造物之形狀之動作;以及比較測定所得之形狀資訊與設計資訊之動作。 Moreover, the method for producing a structure according to the present invention includes: an action of creating design information on a shape of a structure; and a structure based on design information The operation of measuring the shape of the structure produced by the photographic image generated by the above-described shape measuring method; and the operation of comparing the measured shape information and design information.
又,本發明之形狀測定程式產品,係使具備產生拍攝測定對象後之攝影影像之攝影部,與從與攝影部拍攝之方向不同方向對該測定對象照射具有既定強度分布之照明光、以使攝影部所拍攝後之影像被拍攝為在該測定對象已投影格子圖案之影像之照射部之形狀測定裝置之電腦執行下述步驟:從攝影影像算出表示在攝影影像存在之晃動程度之特徵量之步驟;以及根據特徵量判定在攝影影像是否存在晃動之步驟。 Further, the shape measurement program product of the present invention is configured such that an imaging unit that generates a captured image after the measurement target is irradiated with illumination light having a predetermined intensity distribution from the measurement target in a direction different from the direction in which the imaging unit is photographed is used. The computer that has taken the image captured by the photographing unit as the shape measuring device of the illuminating unit that has projected the image of the plaid pattern is subjected to the following steps: calculating the characteristic amount indicating the degree of swaying of the photographic image from the photographic image. a step of determining whether there is a shake in the photographic image based on the feature amount.
如以上說明,根據本發明,可判定在用以測定測定對象之形狀之攝影影像是否存在晃動。 As described above, according to the present invention, it is possible to determine whether or not the photographic image for measuring the shape of the measurement target is shaken.
以下,參照圖式說明本發明一實施形態。 Hereinafter, an embodiment of the present invention will be described with reference to the drawings.
(第1實施形態:比較相同初始相位之複數個影像間之類似度) (First Embodiment: Comparing similarities between a plurality of images of the same initial phase)
圖1係顯示本發明第1實施形態之形狀測定裝置10之構成之方塊圖。形狀測定裝置10具備操作輸入部11、顯示部12、攝影部13、照射部14、記憶部15、特徵量算出部16、判定部17、點群算出部18,包含藉由相位偏移法測定測定對象A之三維形狀之電腦終端。形狀測定裝置10,在藉由相位偏移法拍攝相位偏移後之複數個攝影影像時,檢 測在攝影影像是否存在晃動。晃動之產生原因可認為是例如在攝影中測定對象移動之情形之晃動、或可搬類型之形狀測定裝置10未固定於三腳架等而由使用者手持拍攝之情形之手震等。又,對測定結果造成影響之晃動可認為是在複數個攝影影像間之攝影範圍不同之晃動與在拍攝1張攝影影像之曝光時間中測定對象移動或產生手震導致之晃動。或者,亦可認為是同時引起此等晃動。 Fig. 1 is a block diagram showing the configuration of a shape measuring apparatus 10 according to a first embodiment of the present invention. The shape measuring device 10 includes an operation input unit 11, a display unit 12, an imaging unit 13, an irradiation unit 14, a storage unit 15, a feature amount calculation unit 16, a determination unit 17, and a point group calculation unit 18, and includes a phase shift method. A computer terminal that measures the three-dimensional shape of the object A. The shape measuring device 10 detects a plurality of photographic images after phase shifting by phase shifting Measure whether there is sway in the photographic image. The cause of the swaying is, for example, the sway of the measurement of the movement of the object during photographing, or the shaking of the case where the shape measuring device 10 of the portable type is not fixed to a tripod or the like, and is photographed by the user. Further, the sway which affects the measurement result is considered to be the sway of the photographic range between the plurality of photographic images and the sway caused by the movement of the object or the occurrence of the jitter in the exposure time of one photographic image. Alternatively, it can be considered to cause such shaking at the same time.
本實施形態中,拍攝以N桶子法為依據之初始相位不同之複數個格子圖案已投影至測定對象之像,根據在各像之相同像素之亮度值進行測定對象之形狀測定。一般而言,分別從初始相位不同之條紋影像進行形狀測定,但本實施形態中,進一步地再次投影與至少任一個初始相位之格子圖案相同之初始相位之格子圖案,比較此時拍攝後之影像與初始相位相同之格子圖案之影像。以上述方式,算出拍攝相同初始相位之格子圖案後之攝影時序不同之2個以上之攝影影像之類似度。此處,若類似度為閾值以上則能判定在攝影時序間無晃動,若類似度非閾值以上則能判定在攝影時序間有晃動。形狀測定裝置10判定在攝影中有無產生此種晃動,在產生晃動之情形進行警告。藉此,例如,可在產生晃動之情形進行再次攝影。 In the present embodiment, a plurality of lattice patterns having different initial phases based on the N-bucket method are imaged and projected onto the measurement target image, and the shape of the measurement target is measured based on the luminance values of the same pixels in the respective images. Generally, the shape is measured from the fringe images having different initial phases. However, in the present embodiment, the grid pattern of the initial phase which is the same as the lattice pattern of at least one initial phase is further projected, and the image after the shooting is compared. An image of a grid pattern that is the same as the initial phase. In the above manner, the degree of similarity of two or more photographic images having different photographic timings after the plaid pattern of the same initial phase is captured is calculated. Here, if the degree of similarity is equal to or greater than the threshold value, it can be determined that there is no sway between the shooting timings, and if the similarity is not equal to or greater than the threshold value, it can be determined that there is sway between the shooting timings. The shape measuring device 10 determines whether or not such shaking occurs during shooting, and warns when a rattling occurs. Thereby, for example, it is possible to perform photography again in the case where shaking occurs.
操作輸入部11接受來自使用者之操作輸入。例如,操作輸入部11具備用以切換主電源之開與關之電源鈕、接受攝影處理開始之指示之快門開關鈕等之操作構件。又,操作輸入部11亦可接受觸控面板之輸入。 The operation input unit 11 accepts an operation input from the user. For example, the operation input unit 11 includes an operation member for switching a power button for turning on and off the main power source, and a shutter switch button for receiving an instruction to start the photographing process. Moreover, the operation input unit 11 can also accept the input of the touch panel.
顯示部12為顯示各種資訊之顯示器。例如,顯示部12,在後述判定部17判定在攝影影像存在晃動後,顯示晃動存在之要旨之警告。又,顯示部12顯示例如表示點群算出部18所算出之測定對象之三維形狀之點群資料等。 The display unit 12 is a display that displays various kinds of information. For example, the display unit 12 determines that the warning image is present after the swaying of the captured image, which will be described later. Further, the display unit 12 displays, for example, point group data indicating the three-dimensional shape of the measurement target calculated by the point group calculation unit 18.
攝影部13產生拍攝測定對象後之攝影影像,進行使產生之攝影影像儲存在記憶部15之攝影處理。攝影部13,與照射部14連動動作,與藉由照射部14對測定對象投影照明光之時序一致地進行攝影處理。本實施形態中,攝影部13產生就初始相位拍攝藉由照射部14而以N桶子(Bucket)法為依據之初始相位不同之複數個格子圖案已投影至測定對象之像後之複數個攝影影像。又,攝影部13,在判定部17判定在攝影影像有可能存在晃動後,對使用者警告有可能存在晃動。使用者能依據該警告使形狀測定裝置10取得再次以N桶子法為依據之初始相位不同之複數個格子圖案已投影至測定對象之像。以上述方式,若直至不發出有可能存在晃動之警告為止持續拍攝,則能實施晃動之影響降低之形狀測定。 The photographing unit 13 generates a photographed image after the subject is photographed, and performs photographing processing for storing the generated photographed image in the storage unit 15. The imaging unit 13 operates in conjunction with the irradiation unit 14 and performs imaging processing in accordance with the timing at which the illumination unit 14 projects the illumination light to the measurement target. In the present embodiment, the imaging unit 13 generates a plurality of photographs in which a plurality of gradation patterns having different initial phases based on the N-barrel method are projected onto the image of the measurement target by the irradiation unit 14 in the initial phase imaging. image. Further, the photographing unit 13 determines that there is a possibility that the photographed image is shaken after the photographing image is shaken, and warns the user that there is a possibility of shaking. Based on the warning, the user can cause the shape measuring device 10 to obtain an image in which a plurality of lattice patterns having different initial phases based on the N-bar method are projected onto the measurement target. In the above manner, if the shooting is continued until the warning that there is a possibility of shaking is not issued, the shape measurement in which the influence of the shaking is reduced can be performed.
此外,形狀測定裝置10,直至無晃動之判定為止,自動地持續拍攝以N桶子法為依據之初始相位不同之複數個格子圖案已投影至測定對象之像亦可。以上述方式,再次拍攝照射有照明光之測定對象,產生攝影影像。 Further, the shape measuring device 10 automatically continues to image an image in which a plurality of lattice patterns having different initial phases based on the N-bar method are projected onto the measurement target until the determination of the sloshing is not performed. In the above manner, the measurement target irradiated with the illumination light is imaged again, and a photographic image is generated.
照射部14,在攝影部13拍攝測定對象時,從與攝影部13拍攝之方向不同方向對測定對象照射具有既定強度分布之照明光,以拍攝格子圖案已投影至測定對象之像。此處, 照射部14照射照明光,以能藉由攝影部13依序拍攝具有一定週期之空間頻率且根據N桶子法初始相位逐次不同90度之複數個格子圖案已投影至測定對象之像。例如,照射部14,如圖2所示,具有光源1、將來自光源1之光以成為在相對於光之照射方向正交之方向具有長邊方向之線狀強度分布之方式轉換光強度分布之準直鏡2及圓柱狀透鏡3。又,具備掃描鏡4(MEMS(Micro Electro Mechanical Systems)鏡),該掃描鏡4使成為線狀之光強度分布之光束,使線狀之光強度分布相對於光束之長邊方向,使光源1之光在垂直方向對測定對象進行掃描。 When the imaging unit 13 captures the measurement target, the illumination unit 14 irradiates the measurement target with illumination light having a predetermined intensity distribution from the direction of the imaging unit 13 to capture the image of the measurement target. Here, The illuminating unit 14 illuminates the illumination light so that the imaging unit 13 can sequentially capture an image of the measurement target by sequentially capturing a plurality of gradation patterns having a spatial frequency of a certain period and having an initial phase of 90 degrees according to the N-bar method. For example, as shown in FIG. 2, the illuminating unit 14 has a light source 1 and converts the light intensity distribution such that the light from the light source 1 has a linear intensity distribution having a longitudinal direction in a direction orthogonal to the irradiation direction of the light. The collimating mirror 2 and the cylindrical lens 3 are provided. Further, a scanning mirror 4 (MEMS (Micro Electro Mechanical Systems) mirror) is provided which causes a light beam having a linear light intensity distribution to cause a linear light intensity distribution with respect to a longitudinal direction of the light beam to cause the light source 1 The light scans the measurement object in the vertical direction.
又,在光源1設有用以控制從光源1發出之光強度之光源控制部5,藉由光源控制部5調變雷射光之強度並同時使掃描鏡掃描以逐次改變雷射光之偏向方向,藉此以攝影部13取得之影像可獲得與在測定對象已投影條紋圖案時相同之像。 Further, the light source 1 is provided with a light source control unit 5 for controlling the intensity of light emitted from the light source 1, and the light source control unit 5 modulates the intensity of the laser light while scanning the scanning mirror to sequentially change the deflection direction of the laser light. The image obtained by the imaging unit 13 can be obtained by the same image as when the measurement target has projected the stripe pattern.
亦即,將從光源1照射之雷射光以在與光軸方向垂直方向之某一個方向具有線狀之光強度分布之方式整形強度分布,使在與光軸方向及線狀之光強度分布之長邊方向之兩方垂直之方向具有線狀強度分布之光線強度變化並同時掃描。此處,在一方向形成具有正弦波狀之亮度變化之條紋花紋(正弦格子)之圖案光。此外,藉由使用MEMS技術之反射鏡強度變化成正弦波狀並同時使光源之光往與光軸方向垂直方向偏移。以上述方式,使格子圖案之照射光投影至測定對象。此處,雖例示使用MEMS技術投影雷射光, 但使用液晶投影機等投影照明光亦可。 That is, the laser light irradiated from the light source 1 is shaped to have a linear light intensity distribution in a direction perpendicular to the optical axis direction, so that the light intensity distribution in the direction of the optical axis and the line is made. The direction perpendicular to both sides of the long-side direction has a linear intensity distribution of light intensity changes and is simultaneously scanned. Here, pattern light having a sinusoidal brightness change stripe pattern (sinusoidal lattice) is formed in one direction. Further, the intensity of the mirror by using the MEMS technology is changed to a sinusoidal wave while the light of the light source is shifted in the direction perpendicular to the optical axis direction. In the above manner, the illumination light of the lattice pattern is projected onto the measurement target. Here, although it is exemplified to project laser light using MEMS technology, However, projection illumination such as a liquid crystal projector can also be used.
圖3係顯示照射部14使初始相位逐次偏移90度而投影照射光之測定對象之例之圖。此處,顯示初始相位為0度之A、從A初始相位偏移90度之B、從A初始相位偏移180度之C、從A初始相位偏移270度之D。例如,在5桶子法之情形,產生初始相位以一定角度偏移後之A至E之5張攝影影像,在7桶子法之情形,產生初始相位以一定角度偏移後之A至G之7張攝影影像。此處,攝影順序不一定要為A、B、C、D、E之順序,例如以A、E、B、C、D之順序拍攝亦可,但本實施形態中,以A、B、C、D、E之方式使初始相位依序偏移並同時進行攝影處理。亦即,攝影部13,在拍攝初始相位相同之格子圖案(例如,A、E)已投影至測定對象之像之複數個攝影時序間,拍攝其他初始相位之格子圖案(例如,B、C、D)已投影至測定對象之像。如上述,使拍攝相同初始相位之格子圖案之攝影時序在時間上分離,能比較在產生手震之可能性高之攝影時序間之攝影影像,能提高晃動檢測之精度。 FIG. 3 is a view showing an example in which the irradiation unit 14 shifts the initial phase by 90 degrees and projects the irradiation light. Here, A is shown in which the initial phase is 0 degrees, B from the initial phase of A is shifted by 90 degrees, C from the initial phase of A is shifted by 180 degrees, and D from the initial phase of A is shifted by 270 degrees. For example, in the case of the 5-barrel method, five photographic images of A to E after the initial phase is shifted by an angle are generated, and in the case of the 7-bucket sub-method, A to G are generated after the initial phase is shifted by an angle. 7 photographic images. Here, the order of photographing is not necessarily in the order of A, B, C, D, and E. For example, shooting may be performed in the order of A, E, B, C, and D. However, in the present embodiment, A, B, and C are used. The mode of D, E makes the initial phase shift sequentially and simultaneously performs photographic processing. In other words, the photographing unit 13 captures a grid pattern of another initial phase (for example, B, C, and a plurality of photographing timings in which the grid patterns (for example, A and E) having the same initial phase are projected to the image of the measurement target. D) Image that has been projected onto the measurement target. As described above, the photographing timings for photographing the grid pattern of the same initial phase are separated in time, and the photographing image between the photographing timings where the possibility of jitter is generated can be compared, and the accuracy of the shake detection can be improved.
在記憶部15儲存藉由攝影部13所產生之攝影影像或藉由點群算出部18算出之點群資料等。 The photographic unit 15 generates a photographic image generated by the imaging unit 13 or a point group data calculated by the point group calculation unit 18.
特徵量算出部16從攝影部13產生之攝影影像算出表示在該攝影影像存在之晃動程度之特徵量。本實施形態中,特徵量算出部16將拍攝初始相位相同之格子圖案已投影至該測定對象之像後之複數個攝影影像間之類似度算出為特徵量。類似度可藉由例如以下式(1)算出。 The feature amount calculation unit 16 calculates a feature amount indicating the degree of sway of the captured image from the captured image generated by the imaging unit 13. In the present embodiment, the feature amount calculation unit 16 calculates the similarity between the plurality of photographic images after the gradation pattern in which the initial phase is the same is projected onto the image of the measurement target as the feature amount. The degree of similarity can be calculated, for example, by the following formula (1).
此處,特徵量算出部16將拍攝初始相位相同之格子圖案已投影至測定對象之像後之一組攝影影像間之類似度算出為特徵量亦可,將複數組攝影影像間之類似度算出為特徵量亦可。例如,藉由9桶子法產生拍攝初始相位逐次偏移90度之格子圖案後之9張攝影影像之情形,僅算出初始相位為0度之第1張攝影影像與初始相位為360度(亦即0度)之第5張攝影影像之類似度亦可,如圖3所示,算出A與E、B與F、C與G、D與H般初始相位相同之角度之複數組攝影影像間之類似度亦可。如上述,藉由算出複數組攝影影像間之類似度以進行晃動之判定,可更高精度地檢測晃動。 Here, the feature amount calculation unit 16 calculates the degree of similarity between one of the group of captured images in which the grid pattern having the same initial phase is projected to the image of the measurement target, and calculates the similarity between the complex image images. It is also possible for the feature quantity. For example, by the 9-barrel method, the case where 9 pieces of photographic images whose initial phase is shifted by 90 degrees are successively generated, only the first photographic image whose initial phase is 0 degrees is calculated and the initial phase is 360 degrees (also That is, the similarity of the fifth photographic image of 0 degree) may also be, as shown in FIG. 3, calculate a complex array of photographic images at the same angles as A, E, B, and F, C and G, D and H. The similarity can also be. As described above, by calculating the similarity between the complex array photographic images to determine the sway, the sway can be detected with higher precision.
判定部17根據特徵量算出部16算出後之特徵量判定在攝影影像是否存在晃動。例如,判定部17將預定之類似度之閾值儲存在本身之記憶區域,比較特徵量算出部16算出後之類似度與儲存在本身之記憶區域之類似度之閾值。判定部17若判定特徵量算出部16算出後之類似度為預定之類似度之閾值以上,則判定晃動不存在,若判定特徵量算出部16算出後之類似度非預定之類似度之閾值以上,則判定晃動存在。 The determination unit 17 determines whether or not the captured image is shaken based on the feature amount calculated by the feature amount calculation unit 16. For example, the determination unit 17 stores the predetermined threshold value of the similarity degree in its own memory area, and compares the similarity between the calculated feature amount calculation unit 16 and the threshold value similar to the memory area stored in itself. When the determination unit 17 determines that the degree of similarity calculated by the feature amount calculation unit 16 is equal to or greater than the threshold value of the predetermined similarity degree, the determination unit 17 determines that the sway does not exist, and determines that the similarity degree calculated by the feature amount calculation unit 16 is not greater than the threshold value of the similarity degree. Then, it is determined that the shaking exists.
點群算出部18根據攝影部13產生之複數個攝影影像進行相位算出、相位連接等之點群算出處理,算出點群資料,儲存在記憶部15。 The point group calculation unit 18 performs point group calculation processing such as phase calculation and phase connection based on a plurality of pieces of captured images generated by the imaging unit 13, and calculates point group data, and stores the point group data in the memory unit 15.
接著,參照圖式說明本實施形態之形狀測定裝置10之動作例。圖4係說明形狀測定裝置10進行形狀測定處理之 動作例之流程圖。 Next, an operation example of the shape measuring apparatus 10 of the present embodiment will be described with reference to the drawings. 4 is a view showing the shape measuring device 10 performing shape measurement processing. Flow chart of the action example.
使用者將攝影指示輸入至操作輸入部11後(步驟S1),攝影部13開始測定對象之攝影處理,同時照射部14開始對測定對象之照射光之投影處理(步驟S2)。攝影部13將例如在初始相位為0度、90度、180度、270度、360度之條紋投影時拍攝之5張攝影影像儲存至記憶部15(步驟S3)。特徵量算出部16讀取儲存在記憶部15之複數個攝影影像中相同初始相位(例如,0度與360度)之複數個攝影影像,算出讀取之攝影影像間之類似度(步驟S4)。 When the user inputs the photographing instruction to the operation input unit 11 (step S1), the photographing unit 13 starts the photographing process of the measurement target, and the irradiation unit 14 starts the projection processing of the irradiation light to be measured (step S2). The photographing unit 13 stores, for example, five photographed images taken at the time of initial stripe projection of 0, 90, 180, 270, and 360 degrees in the storage unit 15 (step S3). The feature amount calculation unit 16 reads a plurality of photographic images of the same initial phase (for example, 0 degrees and 360 degrees) stored in the plurality of photographic images of the storage unit 15 to calculate the similarity between the read photographic images (step S4). .
判定部17比較特徵量算出部16算出之類似度與預定之閾值(步驟S5)。判定部17若判定特徵量算出部16算出之類似度非預定之閾值以上(步驟S5:否),則顯示部12顯示表示在攝影影像產生晃動之警告(步驟S6)。此處,雖有可能產生手震,但關於是否繼續點群資料之算出處理,可接受來自使用者之選擇輸入。若對操作輸入部11輸入不繼續處理之要旨之指示(步驟S7:否),則返回步驟S1。若對操作輸入部11輸入繼續處理之要旨之指示(步驟S7:是),則進到步驟S8。 The determination unit 17 compares the similarity calculated by the feature amount calculation unit 16 with a predetermined threshold (step S5). When the determination unit 17 determines that the similarity degree calculated by the feature amount calculation unit 16 is equal to or greater than the predetermined threshold value (step S5: NO), the display unit 12 displays a warning indicating that the captured image is shaken (step S6). Here, although there is a possibility of a jitter, it is acceptable to input the input from the user as to whether or not to continue the calculation of the point group data. When an instruction to not continue processing is input to the operation input unit 11 (step S7: NO), the process returns to step S1. When an instruction to continue the processing is input to the operation input unit 11 (step S7: YES), the process proceeds to step S8.
在步驟S5,判定部17若判定特徵量算出部16算出之類似度為預定之閾值以上(步驟S5:是),則點群算出部18根據儲存在記憶部15之攝影影像算出點群資料,儲存在記憶部15(步驟S8)。接著,顯示部12顯示算出之點群資料(步驟S9)。 When the determination unit 17 determines that the degree of similarity calculated by the feature amount calculation unit 16 is equal to or greater than a predetermined threshold value (step S5: YES), the point group calculation unit 18 calculates the point group data based on the captured image stored in the storage unit 15, It is stored in the memory unit 15 (step S8). Next, the display unit 12 displays the calculated point group data (step S9).
如上述,根據本實施形態,根據N桶子法算出在拍攝 後之初始相位不同之複數個攝影影像中相同初始相位之攝影影像間之類似度,根據類似度可判定是否存在晃動。藉此,在產生晃動之情形可進行再次攝影、再次測定之處理。此處,根據攝影影像進行之點群算出部18之點群算出處理為負荷較高之處理,至處理完成為止會有花費數秒(例如,5秒)程度之時間之情形。因此,本實施形態中,在攝影部13之攝影處理進行後、點群算出部18之點群算出處理開始前,進行類似度之判定與晃動判定處理,在晃動存在之情形顯示警告。藉此,使用者在負荷較高之點群算出處理進行前可得知在攝影影像存在晃動,可輸入再次攝影之指示。亦即,相較於在點群算出處理進行之數秒程度之時間經過後、點群資料顯示在顯示部12之時點才得知產生晃動之情形,可在點群算出處理進行前早期得知晃動之產生。藉此,可降低為了進行測定對象之形狀之再次測定不需要之等待時間,再者,不耗費不需的電力,可高效率地進行測定處理。 As described above, according to the present embodiment, the N barrel method is used to calculate the shooting. The degree of similarity between the photographic images of the same initial phase in a plurality of photographic images having different initial phases is determined based on the degree of similarity to determine whether there is sway. Thereby, the process of re-photographing and re-measurement can be performed in the case of occurrence of shaking. Here, the point group calculation processing by the point group calculation unit 18 based on the photographed image is a process in which the load is high, and it takes a few seconds (for example, 5 seconds) until the processing is completed. Therefore, in the present embodiment, the similarity determination and the shake determination processing are performed before the point group calculation processing of the point group calculation unit 18 is started after the image processing of the image pickup unit 13 is performed, and the warning is displayed when the shake is present. Thereby, the user can know that the photographed image is shaken before the point group calculation process with a high load, and an instruction to perform the photographing again can be input. In other words, it is known that the sway is generated at the time when the point group data is displayed on the display unit 12 after the lapse of the time period of the dot group calculation processing, and the sloshing can be known before the point group calculation processing is performed. Produced. Thereby, it is possible to reduce the waiting time which is not required for the re-measurement of the shape of the measurement target, and further, the measurement process can be efficiently performed without consuming unnecessary power.
(第2實施形態:根據攝影影像之鮮銳度進行晃動判定) (Second embodiment: sway determination based on the sharpness of the photographic image)
第1實施形態中,雖例示根據藉由N桶子法產生之複數個攝影影像之類似度判定在攝影影像是否存在晃動,但藉由其他方法判定是否存在晃動亦可。以下,說明本發明之第2實施形態。本實施形態之形狀測定裝置10為與圖1所示之第1實施形態相同之構成。第1實施形態中,雖檢測在複數個攝影影像間之攝影範圍不同之晃動,但本實施形態中,檢測在拍攝1張攝影影像之曝光時間中測定對象 移動或手震產生導致之晃動。 In the first embodiment, it is determined whether or not the photographic image is shaken based on the similarity of a plurality of photographic images generated by the N-bar method, but it is determined by other methods whether or not there is sway. Hereinafter, a second embodiment of the present invention will be described. The shape measuring device 10 of the present embodiment has the same configuration as that of the first embodiment shown in Fig. 1 . In the first embodiment, although the blurring of the imaging range between the plurality of photographic images is detected, in the present embodiment, the measurement target is detected during the exposure time of one photographic image. Movement or jitter caused by shaking.
本實施形態之特徵量算出部16將攝影部13產生之攝影影像之鮮銳度(模糊度)算出為特徵量。判定部17將用以判定是否產生晃動之鮮銳度之閾值預先儲存,比較特徵量算出部16算出之鮮銳度與鮮銳度之閾值。判定部17若判定特徵量算出部16算出之鮮銳度為設定閾值以上,則判定在攝影影像不存在晃動,若判定特徵量算出部16算出之鮮銳度非設定閾值以上,則判定在攝影影像存在晃動。 The feature amount calculation unit 16 of the present embodiment calculates the sharpness (fuzziness) of the captured image generated by the imaging unit 13 as the feature amount. The determination unit 17 stores a threshold value for determining whether or not the sharpness of the sway is generated in advance, and compares the threshold values of the sharpness and the sharpness calculated by the feature amount calculation unit 16. When the determination unit 17 determines that the sharpness calculated by the feature amount calculation unit 16 is equal to or greater than the set threshold value, it is determined that there is no sway in the captured image, and it is determined that the sharpness is not greater than the set threshold value calculated by the feature amount calculation unit 16 The image is shaking.
影像之鮮銳度可藉由預先決定之算式算出,但例如可根據空間頻率之分布算出。例如,如圖5、6所示,考量拍攝相同測定對象後之未產生晃動之影像資料中空間頻率之度數分布曲線A1與產生晃動之影像資料中空間頻率之度數分布曲線B1。比較未產生晃動之影像資料中空間頻率之度數分布曲線A1與產生晃動之影像資料中空間頻率之度數分布曲線B1,度數分布曲線A1,以度數分布曲線圍繞之圖形之重心存在於高空間頻率側。此外,圖5、6中,相當於虛線位置之頻率為已投影之條紋之空間頻率。 The sharpness of the image can be calculated by a predetermined equation, but can be calculated, for example, based on the distribution of spatial frequencies. For example, as shown in FIGS. 5 and 6, the degree distribution curve A1 of the spatial frequency in the image data of the unscreaked image after the same measurement object and the power distribution curve B1 of the spatial frequency in the image data of the sloshing are taken into consideration. Comparing the degree distribution curve A1 of the spatial frequency in the image data without sloshing with the degree distribution curve B1 of the spatial frequency in the image data of the sloshing, the degree distribution curve A1, the center of gravity of the graph surrounded by the degree distribution curve exists on the high spatial frequency side . In addition, in FIGS. 5 and 6, the frequency corresponding to the position of the broken line is the spatial frequency of the projected stripe.
因此,為了與測定對象對應而判定是否產生晃動,檢測相當於以空間頻率之度數分布曲線圍繞之區域之重心位置之空間頻率,根據該檢測出之空間頻率,與預先設定之空間頻率之閾值進行比較,可判定在攝影影像是否產生晃動。 Therefore, in order to determine whether or not the sway is generated in accordance with the measurement target, the spatial frequency corresponding to the position of the center of gravity of the region surrounded by the power distribution curve of the spatial frequency is detected, and based on the detected spatial frequency, the threshold value of the spatial frequency set in advance is performed. By comparison, it can be determined whether or not the photographic image is shaken.
此外,著眼於複寫至影像資料之條紋圖案之空間頻率亦可,在測定對象之表面有細圖案之情形,著眼於該細圖 案亦可。亦即,藉由檢測該圖案之空間頻率是否變低,可判定在攝影影像是否產生晃動。 In addition, focusing on the spatial frequency of the stripe pattern rewritten to the image data, a fine pattern on the surface of the measurement object, focusing on the fine image The case is also possible. That is, by detecting whether or not the spatial frequency of the pattern is low, it is possible to determine whether or not the photographic image is shaken.
此情形,特徵量算出部16進行藉由攝影部13產生且儲存在記憶部15之攝影影像之傅立葉轉換,將相當於以上述方式求出之重心位置之空間頻率算出為鮮銳度(特徵量)。判定部17比較特徵量算出部16算出之特徵量與作為基準之鮮銳度,判定是否為預先決定之閾值以上,藉此判定在攝影影像是否產生晃動。 In this case, the feature amount calculation unit 16 performs a Fourier transform of the captured image generated by the imaging unit 13 and stored in the storage unit 15, and calculates the spatial frequency corresponding to the position of the center of gravity obtained as described above as the sharpness (feature amount). ). The determination unit 17 compares the feature amount calculated by the feature amount calculation unit 16 with the sharpness as a reference, and determines whether or not the threshold value is equal to or greater than a predetermined threshold value, thereby determining whether or not the captured image is shaken.
此處,進行本實施形態之每一張攝影影像之晃動判定與在第1實施形態所示之以複數個攝影影像間之類似度為依據之晃動判定之兩者,可更高效率、更高精度地進行晃動檢測。例如,攝影部13每當產生初始相位不同之攝影影像時進行以鮮銳度為依據之晃動判定,能在判定鮮銳度非閾值以上之時點進行警告。藉此,可防止進行無需之攝影處理,且防止進行無需之點群資料之算出處理。 Here, both the sway determination of each of the photographic images of the present embodiment and the sway determination based on the similarity between the plurality of photographic images shown in the first embodiment can be performed more efficiently and higher. Perform sway detection with precision. For example, the photographing unit 13 performs the shake determination based on the sharpness when generating the photographed image having the different initial phases, and can warn when the sharpness is not higher than the threshold. Thereby, it is possible to prevent the unnecessary photographic processing from being performed and to prevent the calculation processing of the point group data that is unnecessary.
圖7係顯示上述形狀測定裝置10之動作例之流程圖。使用者將攝影指示輸入至操作輸入部11後(步驟S10),攝影部13開始測定對象之攝影處理,同時照射部14開始對測定對象之照射光之投影處理(步驟S11)。攝影部13將藉由照射部14而每當初始相位不同之格子圖案投影至測定對象時產生之攝影影像儲存至記憶部15(步驟S12)。特徵量算出部16讀取儲存在記憶部15之攝影影像,將讀取之攝影影像進行傅立葉轉換以取得空間頻率分布,取得鮮銳度(步驟S13)。 FIG. 7 is a flow chart showing an operation example of the shape measuring apparatus 10 described above. When the user inputs the photographing instruction to the operation input unit 11 (step S10), the photographing unit 13 starts the photographing process of the measurement target, and the irradiation unit 14 starts the projection processing of the irradiation light to be measured (step S11). The photographing unit 13 stores the photographed image generated when the grid pattern having the initial phase is different from each other by the irradiation unit 14 is stored in the storage unit 15 (step S12). The feature amount calculation unit 16 reads the captured image stored in the storage unit 15 and performs Fourier transform on the read captured image to obtain a spatial frequency distribution, thereby obtaining sharpness (step S13).
判定部17比較特徵量算出部16算出之鮮銳度與預定之鮮銳度之閾值(步驟S14)。判定部17若判定特徵量算出部16算出之鮮銳度非預定之閾值以上(步驟S14:否),則顯示部12顯示表示在攝影影像產生晃動之警告(步驟S15)。若對操作輸入部11輸入不繼續處理之要旨之指示(步驟S16:否),則返回步驟S10。若對操作輸入部11輸入繼續處理之要旨之指示(步驟S16:是),則進到步驟S17。 The determination unit 17 compares the sharpness calculated by the feature amount calculation unit 16 with the threshold value of the predetermined sharpness (step S14). When the determination unit 17 determines that the sharpness degree calculated by the feature amount calculation unit 16 is not more than the predetermined threshold value (step S14: NO), the display unit 12 displays a warning indicating that the captured image is shaken (step S15). When an instruction to not continue processing is input to the operation input unit 11 (step S16: NO), the process returns to step S10. When an instruction to continue the processing is input to the operation input unit 11 (step S16: YES), the process proceeds to step S17.
在步驟S14,判定部17比較特徵量算出部16算出之鮮銳度與基準之鮮銳度,若判定為預定之閾值以上(步驟S14:是),則判定部17判定是否產生規定張數以上之攝影影像(步驟S17)。規定張數,例如在進行5桶子法之攝影時為5張,在進行7桶子法之攝影時為7張。判定部17若判定未產生規定張數以上之攝影影像(步驟S17:否),則返回步驟S11。判定部17若判定產生規定張數以上之攝影影像(步驟S17:是),則進至步驟S18,進行與在第1實施形態所示之步驟S4至步驟S9同樣之處理(步驟S18~步驟S23)。 In step S14, the determination unit 17 compares the sharpness calculated by the feature amount calculation unit 16 with the sharpness of the reference, and if it is determined that the threshold value is equal to or greater than the predetermined threshold value (YES in step S14), the determination unit 17 determines whether or not a predetermined number of sheets or more has occurred. The photographic image (step S17). The number of sheets is set, for example, five sheets for photographing in the five-barrel method and seven sheets for photographing in the seven-barrel method. When the determination unit 17 determines that a predetermined number of shots or more has not been generated (NO in step S17), the determination unit 17 returns to step S11. When the determination unit 17 determines that a predetermined number of images have been generated (step S17: YES), the process proceeds to step S18, and performs the same processing as steps S4 to S9 shown in the first embodiment (steps S18 to S23). ).
如上述,根據本實施形態,特徵量算出部16就各攝影影像算出鮮銳度,判定部17進行晃動判定,在複數個攝影影像全部之鮮銳度為預定之閾值以上而判定為無晃動之情形,特徵量算出部16算出複數個攝影影像間之類似度。藉此,在進行以複數個初始相位為依據之所有圖案之攝影處理前,就與初始相位對應之各攝影影像進行晃動判定,能在檢測出晃動之時點輸出警告。因此,可防止無需之攝影處理或點群資料之算出處理,高效率地進行測定對象之形 狀測定。 As described above, according to the present embodiment, the feature amount calculation unit 16 calculates the sharpness of each of the captured images, and the determination unit 17 performs the shake determination, and determines that the sharpness of all of the plurality of captured images is equal to or greater than a predetermined threshold value. In other cases, the feature amount calculation unit 16 calculates the similarity between the plurality of photographic images. Thereby, before the photographic processing of all the patterns based on the plurality of initial phases is performed, the sway determination is performed on each of the photographic images corresponding to the initial phase, and the warning can be outputted when the sway is detected. Therefore, it is possible to prevent the unnecessary photographic processing or the calculation processing of the point group data, and to efficiently measure the shape of the object to be measured. Determination.
(第3實施形態:比較初始相位不同之複數個攝影影像之合成影像與使強度分布相同而拍攝後之影像) (Third Embodiment: Comparing a composite image of a plurality of photographic images having different initial phases with an image obtained by shooting the same intensity distribution)
本實施形態之形狀測定裝置10與第1實施形態相同,但本實施形態之形狀測定裝置10之照射部14,除了進行與第1實施形態相同之照射處理之外,在攝影部13拍攝時,照射照明光以拍攝在測定對象已投影具有一樣之強度分布之照明光之像。特徵量算出部16將與第1實施形態同樣地拍攝後之初始相位不同之複數個攝影影像合成後之合成影像與拍攝照射有相同照明光之測定對象後之攝影影像之類似度算出為特徵量。藉此,判定在攝影影像是否存在晃動。 The shape measuring apparatus 10 of the present embodiment is the same as that of the first embodiment. However, the irradiation unit 14 of the shape measuring apparatus 10 of the present embodiment performs imaging processing at the imaging unit 13 in addition to the irradiation processing similar to that of the first embodiment. The illumination light is irradiated to capture an image of illumination light having the same intensity distribution projected on the measurement object. The feature amount calculation unit 16 calculates the similarity between the composite image obtained by combining the plurality of captured images having the initial phases different in the initial phase and the captured image of the measurement target irradiated with the same illumination light, as the feature amount, in the same manner as in the first embodiment. . Thereby, it is determined whether or not there is a shake in the photographed image.
亦即,如圖8所示,將使初始相位偏移拍攝後之不同之4個攝影影像(A、B、C、D)加以合成,算出例如空間頻率之分布之平均。此外,圖8之影像X為將4個攝影影像加以合成後之影像。又,圖8之影像Y為以均勻照明照明測定對象時拍攝後之影像。將4個攝影影像加以合成後之影像與未進行雷射光之強度調變、使線狀圖案之光掃描時所得之影像,若在複數個攝影影像間未產生晃動,則為相同影像。是以,作為特徵量,檢測將4個攝影影像加以合成後之影像與未進行強度調變地照明測定對象後之影像之類似度,進行晃動之有無之檢測亦可。 That is, as shown in FIG. 8, four different photographic images (A, B, C, and D) after the initial phase shift imaging are combined, and the average of the spatial frequency distribution is calculated, for example. In addition, the image X of FIG. 8 is an image obtained by combining four photographic images. Moreover, the image Y of FIG. 8 is an image which is imaged when the measurement target is illuminated with uniform illumination. The image obtained by combining the four photographic images with the image obtained without the intensity of the laser light and scanning the light of the linear pattern is the same image if no sway occurs between the plurality of photographic images. In other words, as the feature amount, the degree of similarity between the image obtained by combining the four photographic images and the image after the measurement target is not modulo-intensified is detected, and the presence or absence of the sway may be detected.
又,根據發明人之想法,上述使初始相位偏移拍攝後之不同之攝影影像之合成影像、與拍攝對測定對象已投影具有一樣之強度分布之照明光之像後之攝影影像之空間頻 率之分布大致一致。因此,作為其他方法,特徵量算出部16能比較上述初始相位不同之攝影影像之合成影像之空間頻率分布與使強度分布一樣而拍攝後之影像之空間頻率分布,算出類似度。判定部17,若算出之類似度為一定以上則判定不存在晃動,若非一定以上則判定存在晃動。 Further, according to the idea of the inventor, the spatial frequency of the composite image of the different photographic images after the initial phase shift is captured and the photographic image after the image of the illumination light having the same intensity distribution is projected on the measurement target. The distribution of rates is roughly the same. Therefore, as another method, the feature amount calculation unit 16 can compare the spatial frequency distribution of the synthesized image of the photographic image having the different initial phases and the spatial frequency distribution of the image after the same as the intensity distribution, and calculate the similarity. When the degree of similarity calculated is a certain level or more, the determination unit 17 determines that there is no sway, and if it is not more than a certain degree, it determines that there is sway.
(第4實施形態:與模板影像之比較) (Fourth embodiment: comparison with template image)
本實施形態之形狀測定裝置10與第1實施形態相同,但在本實施形態之形狀測定裝置10之記憶部15預先儲存有拍攝格子圖案已投影至測定對象之像後之攝影影像即模板影像。例如,如圖9所示,在記憶部15預先儲存就初始相位預先拍攝測定對象後之A’(初始相位0度)、B’(初始相位90度)、C’(初始相位180度)、D’(初始相位270度)之模板影像。特徵量算出部16讀取儲存在記憶部15之模板影像,算出讀取之模板影像與就對應之各初始相位由攝影部13產生之攝影影像之類似度。判定部17,若特徵量算出部16算出之類似度為預先決定之閾值以上,則判定不存在晃動,若非閾值以上,則判定存在晃動。 The shape measuring device 10 of the present embodiment is the same as the first embodiment. However, in the memory unit 15 of the shape measuring device 10 of the present embodiment, a template image which is a captured image in which the captured lattice pattern has been projected onto the image of the measurement target is stored in advance. For example, as shown in FIG. 9, in the memory unit 15, A' (initial phase 0 degrees), B' (initial phase 90 degrees), C' (initial phase: 180 degrees), and A' (initial phase: 90 degrees), which are captured in advance in the initial phase, are stored in advance. Template image of D' (initial phase 270 degrees). The feature amount calculation unit 16 reads the template image stored in the storage unit 15 and calculates the similarity between the read template image and the captured image generated by the imaging unit 13 for each initial phase. When the degree of similarity calculated by the feature amount calculation unit 16 is equal to or greater than a predetermined threshold value, the determination unit 17 determines that there is no sway, and if it is not equal to or greater than the threshold value, it is determined that there is sway.
(第5實施形態:根據複數個影像之空間頻率分布進行晃動判定) (Fifth Embodiment: Swing determination based on spatial frequency distribution of a plurality of images)
本實施形態之形狀測定裝置10與第1實施形態相同,但本實施形態之形狀測定裝置10之特徵量算出部16對攝影部13拍攝後之複數個攝影影像之各個進行傅利葉轉換,將空間頻率之分布算出為特徵量。判定部17,在複數個攝影影像間之空間頻率之分布不同之情形,判定在攝影影像 間存在晃動,在複數個攝影影像間之空間頻率之分布大致相同之情形,判定在攝影影像間不存在晃動。例如,在初始相位不同之複數個攝影影像中僅任一個攝影影像產生晃動之情形,可考量僅該攝影影像之空間頻率之分布成為與其他攝影影像之空間頻率之分布不同之結果。因此,在複數個攝影影像間上述空間頻率之分布超過設定條件不一致之情形,判定存在晃動。 The shape measuring device 10 of the present embodiment is the same as the first embodiment. However, the feature amount calculating unit 16 of the shape measuring device 10 of the present embodiment performs Fourier transform on each of a plurality of captured images captured by the imaging unit 13, and the spatial frequency is obtained. The distribution is calculated as the feature amount. The determination unit 17 determines the photographic image when the spatial frequency distribution between the plurality of photographic images is different. There is a sway between the two, and the distribution of the spatial frequencies between the plurality of photographic images is substantially the same, and it is determined that there is no sway between the photographic images. For example, in a case where only one of the plurality of photographic images having different initial phases is shaken, it is possible to consider that only the spatial frequency distribution of the photographic image is different from the spatial frequency distribution of the other photographic images. Therefore, in the case where the distribution of the spatial frequencies between the plurality of photographic images exceeds the setting conditions, it is determined that there is sway.
(第6實施形態:根據空間碼法進行晃動判定) (Sixth embodiment: sway determination based on spatial code method)
本實施形態之形狀測定裝置10與第1實施形態相同,但本實施形態之形狀測定裝置10之照射部14將以空間碼法為依據之格子圖案照射至測定對象,特徵量算出部16將複數個攝影影像之各個之空間碼算出為特徵量。判定部17,若以就複數個攝影影像之各個算出之空間碼為依據之座標位置不同,則判定在攝影影像存在晃動,若座標位置大致一致,則判定在攝影影像不存在晃動。 The shape measuring device 10 of the present embodiment is the same as the first embodiment. However, the illuminating unit 14 of the shape measuring device 10 of the present embodiment irradiates the measurement target with a lattice pattern based on the spatial code method, and the feature amount calculating unit 16 plural The spatial codes of each of the photographic images are calculated as feature quantities. When the coordinate position based on the spatial code calculated for each of the plurality of captured images is different, it is determined that the captured image is shaken, and if the coordinate position is substantially the same, it is determined that there is no shake in the captured image.
此處,將上述第1至第6實施形態之判定處理中至少二個判定處理加以組合來進行,可進行更高精度之判定處理。例如,使用者針對進行上述第1至第6實施形態之判定處理之哪一個判定處理預先選擇至少一個判定處理,執行以該選擇為依據之判定處理(或判定處理之組合)亦可。 Here, at least two of the determination processes in the first to sixth embodiments described above are combined and performed, and the determination process with higher precision can be performed. For example, the user may select at least one determination process in advance of the determination process of the determination processes of the first to sixth embodiments described above, and may perform determination processing (or a combination of determination processes) based on the selection.
又,上述實施形態中,雖例示判定部17判定在攝影影像存在晃動之情形顯示部12顯示警告,但例如形狀測定裝置10具備輸出聲音之喇叭,輸出警告音亦可。或者,藉由有線線路或無線線路對連接於形狀測定裝置10之終端傳送 訊息等,告知判定部17判定在攝影影像存在晃動亦可。 In the above-described embodiment, the determination unit 17 determines that the display unit 12 displays a warning when the captured image is shaken. For example, the shape measuring device 10 includes a speaker that outputs a sound, and outputs a warning sound. Alternatively, the terminal connected to the shape determining device 10 is transmitted by a wired line or a wireless line. The notification unit 17 determines that there is a shake in the captured image.
(第7實施形態:構造物製造系統) (Seventh Embodiment: Structure Manufacturing System)
接著,說明使用本實施形態之形狀測定裝置10之構造物製造系統及構造物製造方法。 Next, a structure manufacturing system and a structure manufacturing method using the shape measuring device 10 of the present embodiment will be described.
圖10係顯示本實施形態之構造物製造系統100之構成之圖。本實施形態之構造物製造系統100具備在上述實施形態說明之形狀測定裝置10、設計裝置20、成形裝置30、控制裝置(檢查裝置)40、及修補裝置50。控制裝置40具備座標記憶部41及檢查部42。 Fig. 10 is a view showing the configuration of the structure manufacturing system 100 of the present embodiment. The structure manufacturing system 100 of the present embodiment includes the shape measuring device 10, the design device 20, the molding device 30, the control device (inspection device) 40, and the repairing device 50 described in the above embodiment. The control device 40 includes a coordinate storage unit 41 and an inspection unit 42.
設計裝置20製作關於構造物之形狀之設計資訊,將製作出之設計資訊傳送至成形裝置30。又,設計裝置20將製作出之設計資訊儲存至控制裝置40之座標記憶部210。設計資訊包含顯示構造物之各位置之座標之資訊。 The design device 20 creates design information about the shape of the structure, and transmits the created design information to the forming device 30. Further, the design device 20 stores the created design information in the coordinate storage unit 210 of the control device 40. The design information includes information showing the coordinates of each location of the structure.
成形裝置30根據從設計裝置20輸入之設計資訊製作上述構造物。成形裝置30之成形包含例如鑄造、鍛造、切削等。形狀測定裝置10測定製作出之構造物(測定對象物)之座標,將顯示測定之座標之資訊(形狀資訊)傳送至控制裝置40。 The forming device 30 creates the above-described structure based on the design information input from the design device 20. The forming of the forming device 30 includes, for example, casting, forging, cutting, and the like. The shape measuring device 10 measures the coordinates of the created structure (measurement object), and transmits information (shape information) indicating the measured coordinates to the control device 40.
控制裝置40之座標記憶部41儲存設計資訊。控制裝置40之檢查部42從座標記憶部41讀取設計資訊。檢查部42比較顯示從形狀測定裝置10接收之座標之資訊(形狀資訊)與從座標記憶部41讀取之設計資訊。檢查部42根據比較結果判定構造物是否如設計資訊成形。亦即,檢查部42判定製作出之構造物是否為良品。檢查部42,在構造物未 如設計資訊成形時,判定構造物是否可修復。檢查部42在構造物可修復之情形,根據比較結果算出不良部位與修復量,對修補裝置50傳送顯示不良部位之資訊與顯示修復量之資訊。 The coordinate storage unit 41 of the control device 40 stores design information. The inspection unit 42 of the control device 40 reads the design information from the coordinate storage unit 41. The inspection unit 42 compares the information (shape information) of the coordinates received from the shape measuring device 10 with the design information read from the coordinate storage unit 41. The inspection unit 42 determines whether or not the structure is shaped as design information based on the comparison result. That is, the inspection unit 42 determines whether or not the created structure is a good product. Inspection unit 42, in the structure When the design information is formed, it is determined whether the structure is repairable. When the structure is repairable, the inspection unit 42 calculates the defective portion and the amount of repair based on the comparison result, and transmits the information indicating the defective portion and the information indicating the repair amount to the repairing device 50.
修補裝置50根據從控制裝置40接收之顯示不良部位之資訊與顯示修復量之資訊,加工構造物之不良部位。 The repairing device 50 processes the defective portion of the structure based on the information of the defective portion received from the control device 40 and the information indicating the amount of repair.
圖11係顯示本實施形態之構造物製造方法之流程圖。本實施形態中,圖11所示之構造物製造方法之各處理係藉由構造物製造系統100之各部執行。 Fig. 11 is a flow chart showing a method of manufacturing the structure of the embodiment. In the present embodiment, each process of the structure manufacturing method shown in Fig. 11 is executed by each part of the structure manufacturing system 100.
構造物製造系統100,首先,設計裝置20製作關於構造物之形狀之設計資訊(步驟S31)。接著,成形裝置30根據設計資訊製作上述構造物(步驟S32)。接著,形狀測定裝置10測定製作出之上述構造物之形狀(步驟S33)。接著,控制裝置40之檢查部42比較形狀測定裝置10所得之形狀資訊與上述設計資訊,藉此檢查構造物是否如設計資訊製作(步驟S34)。 In the structure manufacturing system 100, first, the designing device 20 creates design information on the shape of the structure (step S31). Next, the forming device 30 creates the above-described structure based on the design information (step S32). Next, the shape measuring device 10 measures the shape of the created structure (step S33). Next, the inspection unit 42 of the control device 40 compares the shape information obtained by the shape measuring device 10 with the design information, thereby checking whether the structure is created as design information (step S34).
接著,控制裝置40之檢查部42判定製作出之構造物是否為良品(步驟S35)。構造物製造系統100,在檢查部42判定製作出之構造物為良品之情形(步驟S35:是),結束該處理。又,在檢查部42判定製作出之構造物非良品之情形(步驟S35:否),判定製作出之構造物是否能修復(步驟S36)。 Next, the inspection unit 42 of the control device 40 determines whether or not the created structure is a good product (step S35). In the structure manufacturing system 100, the inspection unit 42 determines that the created structure is a good product (step S35: YES), and ends the process. In addition, when the inspection unit 42 determines that the created structure is not good (step S35: NO), it is determined whether or not the created structure can be repaired (step S36).
構造物製造系統100,在檢查部42判定製作出之構造物能修復之情形(步驟S36:是),修補裝置50實施構造物之再加工(步驟S37),返回步驟S33之處理。構造物製造系 統100,在檢查部42判定製作出之構造物無法修復之情形(步驟S36:否),結束該處理。 In the structure manufacturing system 100, the inspection unit 42 determines that the created structure can be repaired (step S36: YES), and the repairing device 50 performs the reworking of the structure (step S37), and returns to the process of step S33. Structure manufacturing department In the system 100, the inspection unit 42 determines that the created structure cannot be repaired (step S36: NO), and ends the process.
本實施形態之構造物製造系統100,由於上述第1至第6實施形態之形狀測定裝置10可正確地測定構造物之座標,因此可判定製作出之構造物是否為良品。又,構造物製造系統100,在構造物非良品之情形,實施構造物之再加工,能修復。 In the structure manufacturing system 100 of the first embodiment, since the shape measuring device 10 according to the first to sixth embodiments can accurately measure the coordinates of the structure, it is possible to determine whether or not the manufactured structure is a good product. Further, in the structure manufacturing system 100, when the structure is not good, the structure is reworked and repaired.
此外,本實施形態中修補裝置50執行之修補步驟,置換成成形裝置30再次執行成形步驟之步驟亦可。此時,控制裝置40之檢查部42判定能修復之情形,成形裝置30再次執行成形步驟(鍛造、切削等)。具體而言,例如,成形裝置30切削在構造物原本應切削但未切削之部位。藉此,構造物製造系統100可正確地製作構造物。 Further, in the present embodiment, the repairing step performed by the repairing device 50 may be replaced with the step of the forming device 30 performing the forming step again. At this time, the inspection unit 42 of the control device 40 determines that the repair is possible, and the molding device 30 performs the molding step (forging, cutting, etc.) again. Specifically, for example, the forming device 30 cuts a portion where the structure should be cut but not cut. Thereby, the structure manufacturing system 100 can correctly fabricate the structure.
此外,將本發明中用以實現處理部之功能之程式記錄在電腦可讀取之記錄媒體,使電腦系統讀取記錄在此記錄媒體之程式,執行以進行晃動判定之處理。此外,此處所謂「電腦系統」包含OS或周邊機器等之硬體。又,「電腦系統」亦包含具備首頁提供環境(或顯示環境)之WWW系統。又,「電腦可讀取之記錄媒體」係指軟碟、光磁碟、ROM、CD-ROM等之可攜媒體,內設於電腦系統之硬碟等之記憶裝置。再者,「電腦可讀取之記錄媒體」亦包含如透過網際網路等網路或電話線路等通訊線路傳送程式之情形之伺服器或作為客戶端之電腦系統內部之揮發性記憶體(RAM)般一定時間保持程式者。 Further, the program for realizing the function of the processing unit in the present invention is recorded on a computer-readable recording medium, and the computer system reads the program recorded on the recording medium and executes the process for performing the shake determination. In addition, the "computer system" here includes hardware such as an OS or a peripheral device. In addition, the "computer system" also includes a WWW system that provides an environment (or display environment) for the home page. Further, the "computer-readable recording medium" refers to a portable medium such as a floppy disk, a magneto-optical disk, a ROM, a CD-ROM, or the like, and a memory device such as a hard disk of a computer system. Furthermore, the "computer-readable recording medium" also includes a server that transmits a program via a communication line such as the Internet or a telephone line, or a volatile memory (RAM) inside the computer system as a client. ) Keep the programmer in a certain amount of time.
又,上述程式從在記憶裝置等儲存有該程式之電腦系統透過傳送媒體或藉由傳送媒體中之載波傳送至其他電腦系統亦可。此處,傳送程式之「傳送媒體」係指網際網路等網路(通訊網)或電話線路等通訊線路(通訊線路)般具有傳送資訊之功能之媒體。又,上述程式為用以實現上述功能之一部分者亦可。再者,為能以與在電腦系統已記錄有上述功能之程式之組合實現者、所謂差分檔案(差分程式)亦可。 Further, the program may be transmitted from a computer system storing the program, such as a memory device, to another computer system via a transmission medium or a carrier wave in the transmission medium. Here, the "transmission medium" of the transmission program refers to a medium having a function of transmitting information like a network (communication network) such as the Internet or a communication line (communication line) such as a telephone line. Further, the above program may be used to implement one of the above functions. Furthermore, it is also possible to implement a so-called differential file (differential program) in combination with a program that has recorded the above functions in a computer system.
又,作為表示在本申請發明之攝影影像存在之晃動程度之特徵量,雖藉由影像比較之類似度算出或影像之空間頻率分布求出,但並不限於此,只要為在取得測定所需影像之期間檢測測定對象或形狀測定裝置是否相對移動之方法,則不限制。 Further, the feature amount indicating the degree of swaying of the photographic image of the present invention is obtained by the similarity calculation of the image comparison or the spatial frequency distribution of the image. However, the present invention is not limited thereto, and it is only required for obtaining the measurement. The method of detecting whether the measurement target or the shape measuring device relatively moves during the period of the image is not limited.
本發明可適用於能判定製造出之構造物是否為良品之構造物製造系統。藉此,能提升製造出之構造物之檢查精度,提升構造物之製造效率。 The present invention can be applied to a structure manufacturing system capable of determining whether or not the manufactured structure is a good product. Thereby, the inspection accuracy of the manufactured structure can be improved, and the manufacturing efficiency of the structure can be improved.
1‧‧‧光源 1‧‧‧Light source
2,3‧‧‧透鏡 2,3‧‧ lens
4‧‧‧掃描鏡 4‧‧‧Scan mirror
10‧‧‧形狀測定裝置 10‧‧‧Shape measuring device
12‧‧‧顯示部 12‧‧‧ Display Department
13‧‧‧攝影部 13‧‧‧Photography Department
14‧‧‧照射部 14‧‧‧ Department of Irradiation
15‧‧‧記憶部 15‧‧‧Memory Department
16‧‧‧特徵量算出部 16‧‧‧Characteristics calculation unit
17‧‧‧判定部 17‧‧‧Decision Department
20‧‧‧設計裝置 20‧‧‧Design device
30‧‧‧成形裝置 30‧‧‧Forming device
40‧‧‧控制裝置 40‧‧‧Control device
42‧‧‧檢查部 42‧‧‧Inspection Department
圖1係顯示本發明第1實施形態之形狀測定裝置之構成例之方塊圖。 Fig. 1 is a block diagram showing a configuration example of a shape measuring device according to a first embodiment of the present invention.
圖2係本發明第1實施形態之照射部之概略構成圖。 Fig. 2 is a schematic configuration diagram of an illuminating unit according to the first embodiment of the present invention.
圖3係顯示本發明第1實施形態之攝影影像之例之圖。 Fig. 3 is a view showing an example of a captured image according to the first embodiment of the present invention.
圖4係顯示本發明第1實施形態之形狀測定裝置之動作例之流程圖。 Fig. 4 is a flow chart showing an operation example of the shape measuring apparatus according to the first embodiment of the present invention.
圖5係顯示未產生晃動之影像資料中空間頻率之度數分布曲線之圖。 Figure 5 is a graph showing the power distribution curve of the spatial frequency in the image data without sloshing.
圖6係顯示產生晃動之影像資料中空間頻率之度數分布曲線之圖。 Figure 6 is a graph showing the power distribution curve of the spatial frequency in the image data of the sloshing.
圖7係顯示本發明第2實施形態之形狀測定裝置之動作例之流程圖。 Fig. 7 is a flow chart showing an operation example of the shape measuring apparatus according to the second embodiment of the present invention.
圖8係顯示本發明第3實施形態中比較之影像之例之圖。 Fig. 8 is a view showing an example of a comparison image in the third embodiment of the present invention.
圖9係顯示本發明第4實施形態中比較之影像之例之圖。 Fig. 9 is a view showing an example of a comparison image in the fourth embodiment of the present invention.
圖10係顯示本發明第7實施形態之形狀測定裝置之構成例之方塊圖。 Fig. 10 is a block diagram showing a configuration example of a shape measuring device according to a seventh embodiment of the present invention.
圖11係顯示本發明第7實施形態之形狀測定裝置之動作例之流程圖。 Fig. 11 is a flow chart showing an operation example of the shape measuring apparatus according to the seventh embodiment of the present invention.
10‧‧‧形狀測定裝置 10‧‧‧Shape measuring device
11‧‧‧操作輸入部 11‧‧‧Operation Input Department
12‧‧‧顯示部 12‧‧‧ Display Department
13‧‧‧攝影部 13‧‧‧Photography Department
14‧‧‧照射部 14‧‧‧ Department of Irradiation
15‧‧‧記憶部 15‧‧‧Memory Department
16‧‧‧特徵量算出部 16‧‧‧Characteristics calculation unit
17‧‧‧判定部 17‧‧‧Decision Department
18‧‧‧點群算出部 18‧‧‧ Point Group Calculation Department
A‧‧‧測定對象 A‧‧‧Measurement object
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| JP6770254B2 (en) * | 2018-02-07 | 2020-10-14 | オムロン株式会社 | 3D measuring device, 3D measuring method and 3D measuring program |
| CN118096592B (en) * | 2024-04-23 | 2024-10-01 | 荣耀终端有限公司 | Image processing method, electronic device, storage medium and chip system |
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| US7308368B2 (en) * | 2004-09-15 | 2007-12-11 | Asml Netherlands B.V. | Method and apparatus for vibration detection, method and apparatus for vibration analysis, lithographic apparatus, device manufacturing method, and computer program |
| JP2006190259A (en) * | 2004-12-06 | 2006-07-20 | Canon Inc | Camera shake determination apparatus, image processing apparatus, control method thereof, and program |
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| DE102008054985B4 (en) * | 2008-12-19 | 2012-02-02 | Sirona Dental Systems Gmbh | Method and device for optical measurement of three-dimensional objects by means of a dental 3D camera using a triangulation method |
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