Computer Vision: Principles, Algorithms, Applications, Learning

Computer Vision clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R&D engineers working in this vibrant subject. . New to this edition:. . . Two new chapters on shape/appearance-based object detection, including face detection and recognition. Three new chapters on Machine Learning. New sections on geometric transformations, histogram of oriented gradients (HOG); Gabor filters; homographies, multiview geometry; wide baseline matching using SIFT, SURF and HOG