JP2010219739A - Digital camera - Google Patents

Abstract

To perform automatic photographing at an appropriate facial expression level for each subject person.
When a face recognition unit 27 recognizes that a subject person in subject image data is a registered person, a facial expression level detection unit 23 stores a smile level value of the subject person in a threshold data storage unit 29. When it is detected that the subject person's smile level threshold value is exceeded, the automatic photographing unit 31 performs automatic photographing. On the other hand, when the face recognition unit 27 recognizes that the subject person in the subject image data is not a registered person, the threshold value calculation setting unit 32 sets an initial value as the smile level threshold value of the person, A smile level threshold value used for the next shooting is calculated from the smile level value detected in the current shooting.
[Selection] Figure 1

Description

  The present invention relates to a digital camera having a function of detecting a facial expression of a subject and automatically photographing the subject when the facial expression becomes a predetermined facial expression.

  2. Description of the Related Art Conventionally, there has been known a camera that detects a facial expression of a subject and automatically captures an image when the subject's facial expression becomes a desirable facial expression (see, for example, Patent Document 1).

JP 2004-294498 A

  However, even if the photographer sets the desired facial expression that he / she wants to shoot, the facial expression varies depending on the subject person. Some people do not have the desired expression. For example, even if the photographer determines the degree of smile (smile level) as a condition for automatic shooting, a subject person with a low smile level does not satisfy the conditions for automatic shooting, and automatic shooting is difficult. .

(1) A digital camera according to a first aspect of the invention is an image pickup means for picking up a subject and outputting subject image data, and face registration for storing face information relating to a face image of a subject person based on the subject image data as face registration data. Data storage means; threshold setting means for setting each facial expression level threshold value for each of the subject persons stored in the face registration data storage means; and threshold storage means for storing the facial expression level threshold value in association with the subject person And recognizing that the face image of the subject person in the subject image data corresponds to the face registration data in the face registration data storage means, the face recognition means for outputting a recognition signal, and the face image of the subject person in the subject image data The facial expression level value of the subject is detected, a level value detection signal representing the facial expression level value is output, and the face of the subject person in the subject image data A facial expression level detection means for outputting a threshold detection signal when it is detected that the emotion level value is equal to or greater than a predetermined facial expression level threshold, and the facial expression level of the subject person based on the level value detection signal of the facial expression level detection means Level value storage means for storing values in association with the subject person, and automatic photographing means for automatically photographing according to a threshold detection signal of the facial expression level detection means, the facial expression level detection means, When the face recognition means outputs a recognition signal, the face expression level threshold value of the subject person stored in the threshold value storage means is used as the predetermined facial expression level threshold value, and the threshold value setting means is stored in the level value storage means. The facial expression level threshold value for the subject person is corrected based on the facial expression level value for the subject person.

  According to the digital camera of the present invention, the facial expression level threshold unique to the subject person is corrected as an automatic photographing condition based on the facial expression level value of the person detected in the past, so the subject person is automatically photographed. It is possible to easily set conditions suitable for

It is a block diagram which shows the structure of the digital camera which concerns on embodiment of this invention. It is a figure which shows typically the state of the memory area of the face registration data memory | storage part 28 of the digital camera which concerns on embodiment. FIG. 2A shows a state at the time of the first shooting, and FIG. 2B shows a state at the time of the second shooting. It is a figure which shows typically the state of the storage area of the threshold value data storage part 29 of the digital camera which concerns on embodiment. FIG. 3A shows a state at the time of the first shooting, and FIG. 3B shows a state at the time of the second shooting. It is a figure which shows typically the state of the storage area of the level value data storage part 30 of the digital camera which concerns on embodiment. FIG. 4A shows a state at the time of the first shooting, and FIG. 4B shows a state at the time of the second shooting. 4 is a graph illustrating the number of shots for each smile level of a subject person in the digital camera according to the embodiment.

Hereinafter, a digital camera according to an embodiment of the present invention will be described with reference to the drawings.
FIG. 1 is a block diagram showing a configuration of a digital camera according to an embodiment of the present invention.
As shown in FIG. 1, the digital camera includes a photographic lens 11, a diaphragm 12, an image sensor 13, a buffer memory 14, and an image processing unit 15. The digital camera includes an image recording unit 16, a CPU (Central Processing Unit) 17, a ROM (Read Only Memory) 18, a bus 19, an image reading unit 20, a facial expression photographing mode setting unit 40, a display control unit 41, and a display 42. Is provided.

  The image processing unit 15, the image recording unit 16, the CPU 17, the ROM 18, the image reading unit 20, the facial expression photographing mode setting unit 40 and the display control unit 41 are connected to each other via the bus 19.

  The CPU 17 functions as a face detection unit 21, a facial expression level detection unit 23, a face recognition unit 27, an automatic photographing unit 31, a threshold calculation setting unit 32 and a statistical processing unit 33. Further, the CPU 17 controls the photographing lens 11, the diaphragm 12, and the image sensor 13 that are photographing means.

The ROM 18 functions as a face data storage unit 22, a facial expression data storage unit 24, a facial expression level data storage unit 25, a face registration data storage unit 28, a threshold data storage unit 29, and a level value data storage unit 30.
The photographing lens 11 includes a plurality of lenses including a zoom lens and a focus lens, and forms a subject image on the image sensor 13. In FIG. 1, for the sake of simplicity, the taking lens 11 is shown as a single lens. The imaging element 13 generates an image signal by photoelectrically converting the subject light L1 from the photographing lens 11.

  The image signal output from the image pickup device 13 is sent to the image processing unit 15 via the buffer memory 14, where predetermined various image processing is performed. At the stage before the start of photographing, the image signal from the image sensor 13 is sent to the display 42 via the buffer 19 via the buffer memory 14 and the image processing unit 15 and displayed as a through image. In the photographing stage, the image signal from the image sensor 13 is recorded in the image recording unit 16 via the bus 19 via the buffer memory 14 and the image processing unit 15.

  The image recording unit 16 records image data and attribute data related to the image data (for example, shooting date and time, shooting location) in a non-volatile memory (storage medium) 16a. The image data includes subject image data from the image sensor 13 and subject image data input to the image recording unit 16 from an external device.

  The image reading unit 20 is an operation unit that searches for image data recorded in the memory 16a of the image recording unit 16 and searches for and reproduces images based on attribute data.

  The face detection unit 21 detects the face of the subject person in the image by comparing the subject person in the through image with the face data stored in advance in the face data storage unit 22. The face data storage unit 22 stores, for example, feature point data relating to the shape of eyebrows, eyes, nose, and lips.

  For the face detection, for example, a detection method disclosed in Japanese Patent Laid-Open No. 2001-16573 can be used. In this detection method, feature points are extracted from an input image to detect the face area, face size, etc. of the subject. The feature points include end points of eyebrows, eyes, nose, lips, and face contour points, such as the head vertex and the lower end point of the chin.

  As other face detection, for example, a detection method disclosed in JP-A-2005-157679 can be used. In this detection method, first, a luminance difference between two pixels in an input image is learned as a feature amount, and an estimated value indicating whether or not a face exists in a predetermined region in the input image based on the feature amount. And when the estimated value is 1 or more, it is determined that a face exists in the predetermined area.

The facial expression level detection unit 23 compares the facial expression of the image of the face area detected by the face detection unit 21 with a plurality of facial expression data stored in advance in the facial expression data storage unit 24, thereby The type of facial expression of the subject person is detected. That is, the facial expression level detection unit 23 detects that the facial expression of the subject person is a predetermined facial expression.
There are various types of facial expressions such as a smiling face, a crying face, an angry face, a surprised face, and a sleeping face, and the facial expression data storage unit 24 stores these various facial expressions as data.

  When the facial expression level detection unit 23 detects a facial expression of an image of a facial region, for example, a detection method disclosed in Japanese Patent Application Laid-Open No. 2008-42319 can be used. In this detection method, for example, in order to detect a smile, the type of facial expression is determined based on whether the face of the detected image is close to the two facial expressions of a smile and a normal face. .

  The facial expression level detection unit 23 further includes a plurality of facial expression level data for each facial expression stored in advance in the facial expression level data storage unit 25 as the facial expression of the face area image detected by the face detection unit 21. By comparing, it is detected which facial expression level (facial expression level) the facial expression of the subject person in the face image corresponds to. As facial expression levels, there are 10 levels of smile levels, such as 10%, 20%, 30%,. As the smile level increases, it changes from smiling to laughing. The facial expression level data storage unit 25 stores data on the facial expression level for each type of facial expression.

The facial expression level detection unit 23 continuously detects the facial expression level value of the subject person and outputs a facial expression level value detection signal corresponding to the facial expression level value at that time.
When the facial expression level detection unit 23 further detects that the facial expression level of the subject person has reached or exceeded a predetermined level threshold value, it outputs a threshold detection signal.

  When the facial expression level detection unit 23 determines the facial expression level of the image of the facial area, for example, the smile level, for example, a method disclosed in Japanese Patent Application Laid-Open No. 2004-46591 can be used. This determination method evaluates the degree of smile for the smile of the input partial image, and calculates a smile evaluation value. When evaluating smiles, calculate the evaluation points for the shape of each element of the eyebrows, pupils, and lips by referring to the smile data stored in advance. Value.

The face recognizing unit 27 collates the image data of the face area of the subject person detected by the face detecting unit 21 with the registration data of the individual person's face image recorded in the face registration data storage unit 28, and the image data of the face area Recognizes that it corresponds to the registered data, it outputs a recognition signal.
When the face recognition unit 27 recognizes that the image data of the face area does not correspond to the registration data, the face recognition unit 27 outputs a non-recognition signal.

  The face registration data storage unit 28 stores, as registration data, face information related to the characteristics of each face image of the subject person photographed so far in association with the subject person. For example, the face registration data storage unit 28 stores face information related to the characteristics of the face image of the subject person A in association with the subject person A.

  Specifically, the face registration data storage unit 28 stores characteristic face information based on the face image of the subject person as registration data (face image data) according to the non-recognition signal generated by the face recognition unit 27. In addition, arbitrary ID information for specifying the person is stored in association with the face image data, and the person registration is completed here. The characteristic face information is, for example, feature amount data of feature points such as eyebrows, eyes, nose, and lips. The registered data may be data analyzed based on a through image or data analyzed based on a photographed subject image.

The threshold data storage unit 29 stores the facial expression level unique to the registered person as threshold data. The unique facial expression level is set for each registered person. When the subject person is an unregistered person, the lowest facial expression level value 10% that can be detected by the facial expression level detection unit 23 is used as the initial value of the threshold.
Since such threshold data is associated with the face image data or ID information data of the registered person in the face registration data storage unit 28, if the registered person is specified, the threshold of the facial expression level can be read immediately. it can.

The level value data storage unit 30 stores the facial expression level value detected by the facial expression level detection unit 23 based on the facial expression level value detection signal of the facial expression level detection unit 23 as level value data.
Since such level value data is associated with the registered person's face image data or ID information data in the face registration data storage unit 28, if the registered person is specified, the facial expression level value can be read immediately. it can.

  The automatic photographing unit 31 outputs operation signals to the photographing lens 11, the diaphragm 12, and the image sensor 13 in accordance with the threshold detection signal from the facial expression level detection unit 23 to automatically photograph the subject. The image recording unit 16 records the captured subject image data and attribute data (for example, shooting date and time, shooting location) in the memory 16a in association with each other.

The threshold calculation setting unit 32 sets each facial expression level threshold value for each registered person stored in the face registration data storage unit 28. The facial expression level threshold value is calculated by calculating the level value data stored in the level value data storage unit 30 for the registered person. Specifically, the facial expression level threshold value is calculated as an average value of a plurality of level value data.
The threshold value data storage unit 29 stores the new threshold value calculated by the threshold value calculation setting unit 32 together with the old threshold value already stored in the threshold value data storage unit 29.
In addition, the threshold calculation setting unit 32 sets an initial value set in advance as a threshold for the subject person in accordance with the non-recognition signal generated by the face recognition unit 27. Specifically, the threshold calculation setting unit 32 sets the above-described initial value of 10% as the facial expression level threshold for a subject person who is not stored in the face registration data storage unit 28.

  The statistical processing unit 33 performs various statistical processing based on the facial expression level value (for example, smile level value) data stored in the level value data storage unit 30, and graphs the results.

  The facial expression photographing mode setting unit 40 is an operation unit that sets ON / OFF a mode for executing automatic photographing by the automatic photographing unit 31 and sets the type of facial expression to be detected.

  The display control unit 41 controls display on the display 42. That is, the display control unit 41 displays the through image on the display 42, displays the subject image temporarily recorded in the buffer memory 14, and reproduces and displays the subject image stored in the memory 16a of the image recording unit 16. Controls the display mode of the hour. In addition, the display control unit 41 causes the display 42 to display a reproduction image to which attribute data related to the subject image data, threshold data related to the registered person's face image data, and level value data information is added. Further, the display control unit 41 causes the display 42 to display the result of statistical processing (for example, a graph) based on the level value data related to the registered person's face image data.

  The display 42 displays a through image, a subject image temporarily recorded in the buffer memory 14, and a subject image stored in the memory 16a. Further, the display 42 displays information on attribute data, threshold data, and level value data, displays a statistical processing result (for example, a graph), and the like according to instructions from the display control unit 41.

The digital camera configured as described above operates as follows.
The facial expression photographing mode setting unit 40 sets the facial expression photographing mode to ON, and sets a smiling photographing mode for performing automatic photographing of a smile, for example. The subject person A to be photographed is an unregistered person in the face registration data storage unit 28.
The operation will be described below with reference to FIGS.

The face detection unit 21 detects the face of the subject person A in the through image. The face recognition unit 27 determines whether the image of the face area detected by the face detection unit 21 corresponds to the face image data registered in the face registration data storage unit 28, but the subject person A is a registered person. When it is recognized that there is no signal, a non-recognition signal is output.
FIG. 2A schematically shows a state where the feature information a is stored in association with the subject person A in the storage area 28 a of the face registration data storage unit 28. The feature information a is data analyzed based on the through image.

The threshold calculation setting unit 32 sets a predetermined initial value 10% as a smile level threshold for the subject person A according to the non-recognition signal generated by the face recognition unit 27, and the threshold data storage unit 29 sets the initial value 10 % Is stored in association with arbitrary ID information of the subject person A.
FIG. 3A schematically shows a state where an initial value of 10% is stored in association with the subject person A in the storage area 29 a of the threshold data storage unit 29.

When the facial expression level detection unit 23 compares the facial expression of the image of the face area detected by the face detection unit 21 with the smile data of the facial expression data storage unit 24 and detects that the subject person A is a smile, By comparing the smile of A with the smile level data in the facial expression level data storage unit 25, it is detected which smile level value the smile of the subject person A corresponds to. Here, the facial expression level detection unit 23 detects that the smile level value of the subject person A has become 30%, and outputs a smile level value detection signal indicating that the smile level value is 30%. The level value data storage unit 30 stores a smile level value of 30% as level value data based on the smile level value detection signal. This level value data is stored in association with the ID information data of the subject person A.
FIG. 4A schematically shows a state in which a smile level value 30% is stored in association with the subject person A in the storage area 30 a of the level value data storage unit 30.

When the facial expression level detection unit 23 detects the smile level value 30% of the subject person A, the smile level value 30% is equal to or greater than the initial threshold value 10% stored in the threshold data storage unit 29. A threshold detection signal is output. The automatic photographing unit 31 outputs an operation signal to the photographing lens 11, the diaphragm 12 and the image sensor 13 in accordance with the threshold detection signal to automatically photograph the subject person A having a smile level value of 30%. The automatically captured image data and attribute data (for example, shooting date and time, shooting location) associated with the image data are recorded in the memory 16a.
Note that, based on the automatically captured face image data of the subject person A, the face image is analyzed to generate feature information, and this feature information can be used as the feature a in FIG. In this case, since the automatically captured subject image data has a higher definition than the above-described through image, better feature information can be obtained.

The threshold value calculation setting unit 32 reads the smile level value 30% data stored in the level value data storage unit 30 for the subject person A, and uses the smile level threshold value unique to the subject person A, that is, automatically next time. A new threshold value for photographing is calculated. The new threshold value is 20%, which is an average value of the initial threshold value 10% and the current smile level value 30%. Then, the new threshold 20% is stored in the threshold data storage unit 29 in association with the ID information data of the subject person A.
FIG. 3A schematically shows a state in which a new threshold 20% is stored in association with the subject person A in the storage area 29 b of the threshold data storage unit 29.

Next, an operation when the same subject person A is re-photographed will be described.
The facial expression photographing mode setting unit 40 sets the facial expression photographing mode to ON and sets a smiling photographing mode for performing automatic photographing of a smile. The subject person A to be imaged is already registered in the face registration data storage unit 28.

  The face detection unit 21 detects the face of the subject person A in the through image. The face recognition unit 27 determines whether the image of the face area detected by the face detection unit 21 corresponds to the face image data registered in the face registration data storage unit 28, and the subject person A corresponds to the registered person. If it recognizes that it does, it outputs a recognition signal. When this recognition signal is output, the face registration data storage unit 28 does not store the feature information of the subject person A. FIG. 2B shows that the feature information of the subject person A is not stored again in the face registration data storage unit 28.

  The threshold calculation setting unit 32 reads from the threshold data storage unit 29 the threshold 20% obtained by the previous calculation as the smile level threshold for the subject person A according to the recognition signal generated by the face recognition unit 27.

  The facial expression level detection unit 23 compares the facial expression of the image of the face area detected by the face detection unit 21 with the smile level data in the facial expression level data storage unit 25, so that the smile of the subject person A can be any smile level. Detect if it corresponds to the value. Here, the facial expression level detection unit 23 detects that the smile level value of the subject person A has reached 50%, and outputs a smile level value detection signal indicating that the smile level value is 50%. As shown in FIG. 4B, the level value data storage unit 30 stores a smile level value of 50% as level value data based on the smile level value detection signal.

  When the facial expression level detection unit 23 detects the smile level value 50% of the subject person A, the facial expression level detection unit 23 outputs a threshold detection signal because it is equal to or more than the previous threshold 20% stored in the threshold data storage unit 29. The automatic photographing unit 31 outputs an operation signal to the photographing lens 11, the diaphragm 12, and the image sensor 13 in accordance with the threshold detection signal to automatically photograph the subject person A having a smile level value of 50%. The automatically captured image data and attribute data (for example, shooting date and time, shooting location) associated with the image data are recorded in the memory 16a.

The threshold value calculation setting unit 32 reads the smile level value 50% data stored in the level value data storage unit 30 for the subject person A, and uses the smile level threshold value unique to the subject person A, that is, automatically next time. A new threshold value for photographing is calculated. The new threshold value is 30%, which is an average value of the initial threshold value 10%, the previous threshold value 30%, and the current smile level value 50%. The new threshold 30% is stored in the threshold data storage unit 29 in association with the ID information data of the subject person A as shown in FIG.
The threshold value calculated in this way may be displayed on the display 42 together with the image of the subject person.
The third and subsequent automatic photographing of the subject person A is performed in the same manner as the above operation.

Hereinafter, statistical processing using a series of smile level values stored in the level value data storage unit 30 will be described.
FIG. 5 is a graph illustrating the number of shots for each smile level of a subject person. This graph is displayed on the display 42. In the figure, the vertical axis of the bar graph is the number of shots, the horizontal axis is the smile level value, and the buttons 51, 52 and 53 indicate the distribution of the number of shots by “level”, “by season”, and “by location”, respectively. It is a button for switching between.
In FIG. 5, “every level” is selected with the button 51, but “every season” can be selected with the button 52, and “every place” can be selected with the button 53. If you select "By Season", you can use statistical information and graphs by using the time information of the shooting date. If you select "By Location", location information of Mt. Fuji, B amusement park, etc. Can be graphed by statistical processing. Further, GPS information may be used as the position information.

The digital camera according to the present embodiment has the following operational effects.
(1) Since the average smile level value of the person detected in the past is updated as the automatic shooting condition as the smile level threshold specific to the subject person, conditions suitable for automatically shooting the subject person can be easily set. Can be set.
(2) For an unregistered subject person, since the lowest smile level value that can be detected by the facial expression level detection unit 23 is used as the initial value of the threshold value, almost all persons can be automatically photographed.
(3) Since the person registration of the unregistered subject person is performed while the smile level is detected and the automatic photographing is performed, the prior person registration is unnecessary.
(4) Since the result of statistical processing of a plurality of smile level values is graphed and displayed on the display 42, the transition and frequency of the smile level value of the person can be easily recognized.

In the above description, the initial value of the facial expression level threshold is 10%, which is the lowest value that can be detected by the facial expression level detection unit 23, but is not limited to this, and can be detected by the facial expression level detection unit 23. A medium facial expression level value of 50% or the like in the range of various facial expression level values can be used.
As described above, when 50% is set as the initial value of the facial expression level threshold, if the subject person is a person who does not laugh too much, the facial expression shooting mode setting unit 40 sets the smile shooting mode to ON. However, there is a possibility that automatic photographing by the automatic photographing unit 31 is not performed. If automatic shooting is not performed after a predetermined time in the smile shooting mode, the smile shooting mode is forcibly terminated and a dummy smile level value 0% is stored in the level value data storage unit 30. The threshold value calculation setting unit 32 calculates 20% or 30%, which is an almost intermediate value between 0% and the initial value of the threshold value of 50%, and stores the intermediate value in the threshold value data storage unit 29. Thus, even if the initial threshold value is too high, it can be lowered.
As described above, as a measure for lowering the threshold for a subject person whose initial threshold value is 50% too high, the photographer forcibly performs a shutter release operation during the smile shooting mode, and a dummy value is stored in the level value data storage unit 30. A smile level value of 0% can also be stored.

Further, the name information of the person can be used as the ID information of the subject person recorded in the face registration data storage unit 28. In this case, name information is input from the operation panel of the digital camera. The name information input in this way can also be used as attribute data when automatically captured subject image data is recorded in the memory 16a.
The present invention is not limited to the embodiments described above as long as the characteristics are not impaired.

16: Image recording unit 16a: Memory 23: Facial expression level detection unit 24: Facial expression data storage unit 25: Facial expression level data storage unit 27: Face recognition unit 28: Face registration data storage unit 29: Threshold data storage unit 30: Level value data storage unit 31: Automatic photographing unit 32: Threshold calculation setting unit 33: Statistical processing unit

Claims (9)

Imaging means for imaging a subject and outputting subject image data;
Face registration data storage means for storing face information relating to the face image of the subject person as face registration data based on the subject image data;
Threshold setting means for setting a respective facial expression level threshold for each of the subject persons stored in the face registration data storage means;
Threshold storage means for storing the facial expression level threshold in association with the subject person;
Face recognition means for outputting a recognition signal when recognizing that the face image of the subject person in the subject image data corresponds to the face registration data of the face registration data storage means;
A facial expression level value of the facial image of the subject person in the subject image data is detected, a level value detection signal representing the facial expression level value is output, and a facial expression level value of the subject person in the subject image data A facial expression level detection means for outputting a threshold detection signal when it is detected that corresponds to a predetermined facial expression level threshold or higher,
Level value storage means for storing the facial expression level value of the subject person in association with the subject person based on the level value detection signal of the facial expression level detection means;
Automatic photographing means for automatically photographing according to the threshold detection signal of the facial expression level detecting means,
The facial expression level detection means uses the facial expression level threshold of the subject person stored in the threshold storage means as the predetermined facial expression level threshold when the facial recognition means outputs the recognition signal;
The digital camera characterized in that the threshold setting means corrects a facial expression level threshold for the subject person based on the facial expression level value related to the subject person stored in the level value storage means. The digital camera according to claim 1, wherein
When the face recognition unit recognizes that the face image of the subject person in the subject image data does not correspond to the face registration data of the face registration data storage unit, the face recognition unit outputs a non-recognition signal and relates to the face image of the subject person A digital camera characterized in that face information is stored in the face registration data storage means as the face registration data. The digital camera according to claim 2,
The digital camera characterized in that the threshold value setting means sets a predetermined initial value as a facial expression level threshold value for the subject person in accordance with the non-recognition signal of the face recognition means. The digital camera according to claim 3, wherein
The digital camera according to claim 1, wherein the initial value is a lowest facial expression level value detectable by the facial expression level detection means. The digital camera according to claim 3, wherein
The digital camera according to claim 1, wherein the initial value is a middle facial expression level value within a range of facial expression level values detectable by the facial expression level detection means. The digital camera according to any one of claims 1 to 5,
The threshold setting means calculates a plurality of facial expression level values related to the subject person stored in the level storage means, and corrects a facial expression level threshold value for the subject person based on the calculation result. Digital camera. The digital camera according to claim 6, wherein
The digital camera according to claim 1, wherein the threshold value setting means sets an average value of the plurality of facial expression level values related to the subject person as a facial expression level threshold value for the subject person. The digital camera according to claim 6, wherein
A display means,
A digital camera characterized in that a result of statistical processing of the plurality of facial expression level values is graphed and displayed on the display means. The digital camera according to claim 6, wherein
A display means,
A digital camera characterized in that the facial expression level threshold value is displayed on the display means together with an image of the subject person.

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