Computer vision is the area of science that focuses on enabling computers to attain sophisticated comprehension from videos or digital images. Tasks within computer vision comprise acquiring, analyzing, processing, and comprehending digital images, along with extracting high-dimensional data from the real world to generate numerical or symbolic information. Computer vision encompasses diverse sub-domains, including scene reconstruction, motion estimation, object recognition, video tracking, event detection, image restoration, and 3D pose estimation. Related fields to computer vision incorporate solid-state physics, signal processing, and information engineering. This book is compiled in such a manner, that it will provide in-depth knowledge about the theory and applications of computer vision. It will also provide interesting topics for research which interested readers can take up. It will serve as a valuable source of reference for graduate and postgraduate students.