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Computer vision tasks include methods for acquiring, processing, ... ISBN 978-0-905705-71-2. Richard Szeliski (2010). Computer Vision: Algorithms and Applications ...
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 and Richard Szeliski (Microsoft Research). [citation needed]
Welcome to the Computer Vision WikiProject! If you want to see some of the off-wiki organization efforts, you can check out this page. Goals. Improve Wikipedia's coverage of Computer Vision. Assess and improve articles about Computer Vision. Classify and categorize all relevant articles. Bring in Computer Vision experts to assist with the above ...
Computer vision is an interdisciplinary field related to, e.g., artificial intelligence, machine learning, robotics, signal processing and geometry. The purpose of computer vision is to program a computer to "understand" a scene or features in an image. Computer vision shares many topics and methods with image processing and machine vision ...
[1] [2] [3] Computer vision tasks include methods for acquiring digital images (through image sensors), image processing, and image analysis, to reach an understanding of digital images. In general, it deals with the extraction of high-dimensional data from the real world in order to produce numerical or symbolic information that the computer ...
Special issue on Computational Photography, IEEE Computer, August 2006. Camera Culture and Computational Journalism: Capturing and Sharing Visual Experiences Archived 2015-09-06 at the Wayback Machine, IEEE CG&A Special Issue, Feb 2011. Rick Szeliski (2010), Computer Vision: Algorithms and Applications, Springer.
Computer stereo vision takes two or more images with known relative camera positions that show an object from different viewpoints. For each pixel it then determines the corresponding scene point's depth (i.e. distance from the camera) by first finding matching pixels (i.e. pixels showing the same scene point) in the other image(s) and then ...
[10] [11] Candidates are nominated by the computer vision community, with winners selected by a committee of senior researchers in the field. This award was originally instituted in 2012 by the journal Image and Vision Computing, also presented at the conference, and the journal continues to sponsor the award. [12] [13]