TY  - GEN
AU  - Szeliski, Richard
TI  - Computer vision [2nd ed.]: algorithms and applications
T2  - / edited by David Gries and Orit Hazzan
SN  - 9783030343712
U1  - 006.37 
PY  - 2022///
CY  - Switzerland
PB  - Springer Nature
KW  - Computer vision
KW  - Image processing
KW  - Image processing -- Mathematics
N2  - 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
ER  -