Algorithms and Applications of Computer Vision is a textbook that covers the fundamental principles and algorithms of computer vision. The book is written in a clear and concise style, and it is designed to be accessible to students and researchers with a variety of backgrounds, including computer science, mathematics, and physics.

The book begins with an overview of the field of computer vision and its applications in areas such as robotics, self-driving cars, and medical imaging. It then discusses the basic principles of computer vision, such as image formation, image processing, and feature detection and matching.

The book then applies these principles to a variety of specific computer vision tasks, such as:

Segmentation
Feature-based alignment
Structure from motion
Dense motion estimation
Image stitching
Computational photography
Stereo correspondence
3D reconstruction
Image-based rendering
Recognition

The book also includes a number of chapters on more advanced topics, such as:

Deep learning for computer vision
Human activity recognition
Object tracking
Video analysis

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