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Found 4 from your keywords: subject="Computer vision"
cover
Multiple view geometry in computer vision
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Hartley, Richard.Zisserman, Andrew.

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and met…

Edition
2nd ed.
ISBN/ISSN
9780521540513
Collation
xvi, 655 p. : ill. (some col.) ; 25 cm.
Series Title
-
Call Number
006.37 SZE c
Availability1
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cover
Computer vision: algorithms and applications
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Richard Szeliski

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 video…

Edition
-
ISBN/ISSN
9783030343712
Collation
1 online resource : illustrations (some color).
Series Title
-
Call Number
006.37 SZE c
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cover
Computer vision and applications: a guide for students and practitioners
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Jähne, BerndHaussecker, Horst.

Based on the highly successful 3-volume reference Handbook of Computer Vision and Applications, this concise edition covers in a single volume the entire spectrum of computer vision ranging form the imaging process to high-end algorithms and applications. This book consists of three parts, including an application gallery, and is accompanied by an interactive CD-ROM. * Bridges the gap between t…

Edition
-
ISBN/ISSN
9780123797773
Collation
xxi, 679 p. : ill. ; 23 cm. + 1 computer optical d
Series Title
-
Call Number
006.37 JAH c
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cover
Computer vision and pattern recognition in environmental informatics
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Zhou, JunXiao, BaiCaelli, Terry

Jun Zhou, School of Information and Communication Technology, Griffith University, Australia, Xiao Bai, School of Computer Science and Engineering, Beihang University, China, and Terry Caelli, Department of Electrical and Electronic Engineering, the University of Melbourne, Australia, editors.

Edition
-
ISBN/ISSN
9781466694354
Collation
xxvi, 407 pages : illustrations ; 29 cm
Series Title
Advances in environmental engineering and green technologies (AEEGT) book series
Call Number
[TLK-LIB-117]
Availability1
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