Computer Vision: Algorithms and Applications 2021 Edition Contributor(s): Szeliski, Richard (Author) |
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ISBN: 3030343715 ISBN-13: 9783030343712 Publisher: Springer OUR PRICE: $75.99 Product Type: Hardcover Published: January 2022 |
Additional Information |
BISAC Categories: - Computers | Computer Graphics - Technology & Engineering | Electronics - General - Technology & Engineering | Materials Science - General |
Dewey: 006.31 |
Series: Texts in Computer Science |
Physical Information: 1.57" H x 8.35" W x 11.1" (6.10 lbs) 925 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Humans perceive the three-dimensional structure of the world with apparent ease. However, despite all of the recent advances in computer vision research, the dream of having a computer interpret an image at the same level as a two-year old remains elusive. Why is computer vision such a challenging problem and what is the current state of the art? Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both for specialized applications such as medical imaging, and for fun, consumer-level tasks such as image editing and stitching, which students can apply to their own personal photos and videos. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using statistical models and solved using rigorous engineering techniques Topics and features:
Suitable for an upper-level undergraduate or graduate-level course in computer science or engineering, this textbook focuses on basic techniques that work under real-world conditions and encourages students to push their creative boundaries. Its design and exposition also make it eminently suitable as a unique reference to the fundamental techniques and current research literature in computer vision. |