Subject Code: EC4L005	Subject Name: Computer Vision	L-T-P: 3-0-0	Credits: 3
Pre-requisite(s): Image & Video Processing
Introduction to computer vision, geometric camera models, light and shading, local image features: SIFT, HOG, texture and shape descriptors, active contour, segmentation, deformable models, RANSAC, image registration, learning and classification strategies, image classification, object detection and recognition, stereopsis, tracking, applications
Texts/References Books: Forsyth and Ponce, “Computer vision: a modern approach,” 2nd Ed., Pearson, 2012. Sonka, Hlavac and Boyle, “Digital image processing and computer vision,” Cengage learning, 2008. Rick Szeliski, “Computer Vision: Algorithms and Applications,” Springer,2011.