OpenCV-Sift pattern recognition
2016-08-23
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OpenCVSift pattern recognition/* implementation steps: * (1) use SURF algorithm to detect critical points in the image SurfFeatureDetector
* (2) to detect every key point calculating the eigenvectors (also called descriptors) SurfDescriptorExtractor
* (3) use FlannBasedMatcher based on feature vector for match point
* (4) using a threshold excluding bad matches
* (5) using findHomography based on matching the key points to identify the appropriate transform
* (6) using the perspectiveTransform function mapping points in the scene Gets the coordinates of the target
* (2) to detect every key point calculating the eigenvectors (also called descriptors) SurfDescriptorExtractor
* (3) use FlannBasedMatcher based on feature vector for match point
* (4) using a threshold excluding bad matches
* (5) using findHomography based on matching the key points to identify the appropriate transform
* (6) using the perspectiveTransform function mapping points in the scene Gets the coordinates of the target
c++
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