Algorithms and Applications of Computer Vision

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

Subjects / Topics

Computer Science, Image Processing and Computer Vision

Keywords Covered

Image formation, Image processing, Feature detection and matching, Segmentation, Feature-based alignment, Structure from motion, Dense motion estimation, Image stitching, Computational photography, Stereo correspondence, 3D reconstruction, Image-based rendering, Recognition,

Conclusion, etc



Pages – 819