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Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to automate tasks that the human visual system can do.
Computing Rectifying Homographies for Stereo Vision by Charles Loop and Zhengyou Zhang (April 8, 1999) Microsoft Research; Computer Vision: Algorithms and Applications, Section 11.1.1 "Rectification" by Richard Szeliski (September 3, 2010) Springerdheerajnkumar
Computer Vision. Prentice Hall. ISBN 0-13-030796-3. Gang Xu and Zhengyou Zhang (1996). Epipolar geometry in Stereo, Motion and Object Recognition. Kluwer Academic Publishers. ISBN 0-7923-4199-6. Szeliski, Richard (2022). Computer Vision: Algorithms and Applications (2 ed.). Springer Nature. p. 925. ISBN 3030343723
Foundations and Trends in Computer Graphics and Vision is a journal published by Now Publishers. It publishes survey and tutorial articles on all aspects of computer graphics and vision . [ 1 ] The editor-in-chiefs are Brian Curless ( University of Washington ), Luc Van Gool ( KU Leuven ) and Richard Szeliski ( Microsoft Research ).
Rick Szeliski (2010), Computer Vision: Algorithms and Applications, Springer. Computational Photography: Methods and Applications (Ed. Rastislav Lukac), CRC Press, 2010. Intelligent Image Processing (John Wiley and Sons book information). Comparametric Equations. GJB-1: Increasing the dynamic range of a digital camera by using the Wyckoff principle
Richard Szeliski, Image Alignment and Stitching: A Tutorial. Foundations and Trends in Computer Graphics and Computer Vision, 2:1-104, 2006. B. Fischer, J. Modersitzki: Ill-posed medicine – an introduction to image registration. Inverse Problems, 24:1–19, 2008; Barbara Zitová, Jan Flusser: Image registration methods: a survey. Image Vision ...
International Workshop on Vision Algorithms (1999 : Corfu, Greece) Vision algorithms : theory and practice : International Workshop on Vision Algorithms, Corfu, Greece, 21–22 September 1999 : proceedings. With Bill Triggs and Richard Szeliski (eds.). 2000. Multiple view geometry in computer vision. With Richard Hartley. Second edition 2009. [11]
Correspondence is a fundamental problem in computer vision — influential computer vision researcher Takeo Kanade famously once said that the three fundamental problems of computer vision are: “Correspondence, correspondence, and correspondence!” [2] Indeed, correspondence is arguably the key building block in many related applications ...
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