OpenCV: Feature Detection
docs.opencv.org › d1a › group__imgproc__featureJan 08, 2013 · First method-specific parameter. In case of HOUGH_GRADIENT, it is the higher threshold of the two passed to the Canny edge detector (the lower one is twice smaller). param2: Second method-specific parameter. In case of HOUGH_GRADIENT, it is the accumulator threshold for the circle centers at the detection stage. The smaller it is, the more ...
OpenCV: Feature Detection
docs.opencv.org › d1a › group__imgproc__featurecv::goodFeaturesToTrack ( InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask, OutputArray cornersQuality, int blockSize=3, int gradientSize=3, bool useHarrisDetector=false, double k=0.04) Same as above, but returns also quality measure of the detected corners.
OpenCV: Feature Detection
https://docs.opencv.org/3.4/dd/d1a/group__imgproc__feature.html08.01.2013 · Creates a smart pointer to a LineSegmentDetector object and initializes it. More... void. cv::goodFeaturesToTrack ( InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask= noArray (), int blockSize=3, bool useHarrisDetector=false, double k=0.04) Determines strong corners on an image.
OpenCV: Feature Detection and Description
docs.opencv.org › master › dbJan 08, 2013 · We know a great deal about feature detectors and descriptors. It is time to learn how to match different descriptors. OpenCV provides two techniques, Brute-Force matcher and FLANN based matcher. Feature Matching + Homography to find Objects Now we know about feature matching. Let's mix it up with calib3d module to find objects in a complex image.