[go: up one dir, main page]

Schmidt et al., 2013 - Google Patents

Comparative assessment of point feature detectors in the context of robot navigation

Schmidt et al., 2013

View PDF
Document ID
14459733328092001343
Author
Schmidt A
Kraft M
Fularz M
Domagała Z
Publication year
Publication venue
Journal of Automation Mobile Robotics and Intelligent Systems

External Links

Snippet

This paper presents evaluation of various contemporary interest point detector and descriptor pairs in the context of robot navigation. The robustness of the detectors and descriptors is assessed using publicly available datasets: the first gathered from the camera …
Continue reading at yadda.icm.edu.pl (PDF) (other versions)

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6201—Matching; Proximity measures
    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
    • G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4671—Extracting features based on salient regional features, e.g. Scale Invariant Feature Transform [SIFT] keypoints
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/20—Image acquisition
    • G06K9/32—Aligning or centering of the image pick-up or image-field
    • G—PHYSICS
    • G06—COMPUTING; 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
    • G06T2207/10024—Color image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20112—Image segmentation details
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G—PHYSICS
    • G06—COMPUTING; 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING

Similar Documents

Publication Publication Date Title
Schmidt et al. COMPARATIVE ASSESSMENT OF POINT FEATURE DETECTORS AND DESCRIPTORS IN THE CONTEXT OF ROBOT NAVIGATION.
Krajník et al. Image features for visual teach-and-repeat navigation in changing environments
CN102495998B (en) Static object detection method based on visual selective attention computation module
Schmidt et al. An evaluation of image feature detectors and descriptors for robot navigation
Biadgie et al. Feature detector using adaptive accelerated segment test
Son et al. A multi-vision sensor-based fast localization system with image matching for challenging outdoor environments
Buoncompagni et al. Saliency-based keypoint selection for fast object detection and matching
Dai et al. An improved orb feature extraction algorithm based on enhanced image and truncated adaptive threshold
Han et al. Research on adaptive ORB-SURF image matching algorithm based on fusion of edge features
Schmidt et al. Comparative assessment of point feature detectors in the context of robot navigation
Schmidt et al. The impact of the image feature detector and descriptor choice on visual SLAM accuracy
Wang et al. Improvement of speeded-up robust features for robot visual simultaneous localization and mapping
Li et al. Robust object tracking guided by top-down spectral analysis visual attention
Hwang et al. Local descriptor by zernike moments for real-time keypoint matching
Hwooi et al. Enhanced correlation coefficient as a refinement of image registration
Vasconcelos et al. KVD: Scale invariant keypoints by combining visual and depth data
CN109241819A (en) Based on quickly multiple dimensioned and joint template matching multiple target pedestrian detection method
Amiri et al. RASIM: a novel rotation and scale invariant matching of local image interest points
Feichtenhofer et al. Spatio-temporal good features to track
CN111899180B (en) A method for locating the direction of key pixels in an image
Nigam et al. Evaluation and analysis of different type of edge detection techniques on cartridge case image
Nowicki et al. Performance comparison of point feature detectors and descriptors for visual navigation on android platform
Ziomek et al. Evaluation of interest point detectors in presence of noise
Sirisha et al. Evaluation of distinctive color features from harris corner key points
Peng Efficient matching of robust features for embedded SLAM