Library of American University of Madaba
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Szeliski, Richard, 1958-
Computer vision : algorithms and applications / Richard Szeliski - 2nd ed. - Cham : Springer, 2022. - xxii, 925 p. : ill. (colour) ; 29 cm - Texts in computer science 1868-0941 . - Texts in computer science .
Previous edition: 2011
Includes bibliographical references and index
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
"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
9783030343712 3030343715
Computer vision
Image processing
Computer algorithms
Textbooks.
TA1634 / .S97 2022
006.37 / S997
Computer vision : algorithms and applications / Richard Szeliski - 2nd ed. - Cham : Springer, 2022. - xxii, 925 p. : ill. (colour) ; 29 cm - Texts in computer science 1868-0941 . - Texts in computer science .
Previous edition: 2011
Includes bibliographical references and index
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
"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
9783030343712 3030343715
Computer vision
Image processing
Computer algorithms
Textbooks.
TA1634 / .S97 2022
006.37 / S997