Computer Vision Metrics : Textbook Edition Paperback / softback
by Scott Krig
Paperback / softback
Description
Based on the successful 2014 book published by Apress, this textbook edition is expanded to provide a comprehensive history and state-of-the-art survey for fundamental computer vision methods and deep learning.
With over 800 essential references, as well as chapter-by-chapter learning assignments, both students and researchers can dig deeper into core computer vision topics and deep learning architectures.
The survey covers everything from feature descriptors, regional and global feature metrics, feature learning architectures, deep learning, neuroscience of vision, neural networks, and detailed example architectures to illustrate computer vision hardware and software optimization methods.
To complement the survey, the textbook includes useful analyses which provide insight into the goals of various methods, why they work, and how they may be optimized. The text delivers an essential survey and a valuable taxonomy, thus providing a key learning tool for students, researchers and engineers, to supplement the many effective hands-on resources and open source projects, such as OpenCV and other imaging and deep learning tools.
Information
-
Out of stock
- Format:Paperback / softback
- Pages:637 pages, 139 Illustrations, color; 192 Illustrations, black and white; XVIII, 637 p. 331 illus., 1
- Publisher:Springer International Publishing AG
- Publication Date:14/06/2018
- Category:
- ISBN:9783319815954
Other Formats
- Hardback from £99.99
Information
-
Out of stock
- Format:Paperback / softback
- Pages:637 pages, 139 Illustrations, color; 192 Illustrations, black and white; XVIII, 637 p. 331 illus., 1
- Publisher:Springer International Publishing AG
- Publication Date:14/06/2018
- Category:
- ISBN:9783319815954
