Image Features Lecture
2D Computer Vision and Image Analysis revolutionize very many domains, notably:
-Medical/Biological/Dental Image Analysis and Diagnosis,
-Autonomous systems perception
-Digital Media (video/image) and Social Media Analytics,
-Big Visual Data Analytics,
-Scientific Image Analysis of any sort, e.g., Remote Sensing, Environment Sensing.
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.