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.
0
SUMMARY OR ABSTRACT
Text of Note
"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.
TOPICAL NAME USED AS SUBJECT
Entry Element
Computer vision.
Entry Element
Image processing.
Entry Element
Computer algorithms.
DEWEY DECIMAL CLASSIFICATION
Number
006
.
37
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
TA1634
Book number
.
S97
2022
PERSONAL NAME - PRIMARY RESPONSIBILITY
Entry Element
Szeliski, Richard,
Dates
1958-
ORIGINATING SOURCE
Agency
کتابخانه مرکزی و مرکز اطلاع رسانی دانشگاه
Date of Transaction
20231014080456.0
Cataloguing Rules (Descriptive Conventions))
rda
ELECTRONIC LOCATION AND ACCESS
Date and Hour of Consultation and Access
Computer Vision Algorithms and Applications (Texts in Computer Science)-Springer (2022).pdf