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.
