Abstract
This lecture overviews Image Features that have many applications in computer vision, image analysis, stereo vision, image registration, motion estimation and object tracking. It covers the following topics in detail: Convolutional (CNN) features, edge image features, SIFT, ORB, SURF, LSK, HOG, LBP feature detection and description, Gabor features, Bag of Features, Feature point matching, Image Feature Applications.
Image Feature Correspondence.
Image Feature matching and triangulation.
Image-Features-v2.1