Download a pdf copy of “Computer Vision: Algorithms and Applications” by Richard Szeliski for free. Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive.
Book Description
Why is computer vision such a challenging problem and what is the current state of the art? Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images.
It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos.
Table of Contents
- Introduction
- 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