3. Data-driven feature detection and extraction

Topics of this lecture covers the identification and coding of an image with the use of "Regions of Interest" (ROI). This is achieved with the use of Key-point detection and visual descriptor algorithms such as the popular "Scale-invariant feature transform" (SIFT). In addition, we extend the use of the SIFT by introducing the concept of "Local correspondence" and the RANSAC algorithm.