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Feature Detection and Matching with SIFT, SURF, KAZE, BRIEF, ORB, BRISK, AKAZE and FREAK through the Brute Force and FLANN algorithms using Python and OpenCV
This is an example to find multiple objects in images that match a template using ORB and SIFT feature detection methods. Handles different scales and rotations.
The implementation of part of the ORB (Oriented FAST and Rotated BRIEF) pipeline. The ORB consists of the feature detector and feature descriptor that detect and describe reproducible and discriminative regions in an image. Those, in turn, can be matched between pairs of images for correspondence search, 3D reconstruction, and so on.