Computer vision: algorithms and applications
"Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/…
Read More ↓Title Statements
- Full title :Computer vision : algorithms and applications / Richard Szeliski.
Summary
"Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems. These problems are then analyzed using the latest classical and deep learning models and solved using rigorous engineering principles."--Page 4 of cover.
Read More ↓Edition Statements
- Publication Date:2022
- Edition:Second edition
Publication Statements
- Publisher(s):Springer
- Place of Publication:Cham, Switzerland
- Language:eng
- Publication Date:2022
Notes
Previous edition: 2011.
The Physical Object
- Description:xxii, 925 pages : : illustrations (some color) ; : 29 cm.
Edition Identifiers
- ISBN:9783030343712, 3030343715
- oclc:on1295162970
- LC Classification:TA1634
- Dewey Decimal:006.3/7
Table of Contents
Introduction -- Image formation -- Image processing -- Model fitting and optimization -- Deep learning -- Recognition -- Feature detection and matching -- Image alignment and stitching -- Motion estimation -- Computational photography -- Structure from motion and SLAM -- Depth estimation -- 3D reconstruction -- Image-based rendering -- Conclusion -- Appendix A: Linear algebra -- Appendix B: Bayesian modeling and inference -- Appendix C: Supplementary material.
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