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OverviewThis monograph provides a thorough, mathematically rigorous exposition of a broad and vital area in computer vision: the problems and techniques related to three-dimensional (stereo) vision and motion. The emphasis is on using geometry to solve problems in stereo and motion, with examples from navigation and object recognition. Faugeras takes up such problems in computer vision as projective geometry, camera calibration, edge detection, stereo vision (with many examples on real images), different kinds of representations and transformations (especially 3-D rotations), uncertainty and methods of addressing it, and object representation and recognition. His theoretical account is illustrated with the results of actual working programmes. ""Three-Dimensional Computer Vision"" proposes solutions to problems arising from a specific robotics scenario in which a system must perceive and act. Moving about an unknown environment, the system has to avoid static and mobile obstacles, build models of objects and places in order to be able to recognize and locate them, and characterize its own motion and that of moving objects, by providing descriptions of the corresponding three-dimensional motions. The ideas generated, however, can be used in different settings, resulting in a general book on computer vision that reveals the relationship of three-dimensional geometry and the imaging process. Full Product DetailsAuthor: Olivier FaugerasPublisher: MIT Press Ltd Imprint: MIT Press Dimensions: Width: 20.30cm , Height: 5.70cm , Length: 22.90cm Weight: 1.633kg ISBN: 9780262061582ISBN 10: 0262061589 Pages: 700 Publication Date: 19 November 1993 Recommended Age: From 18 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: No Longer Our Product Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsProjective geometry; modelling and calibrating cameras; edge detection; representing geometric primitives and their uncertainty; stereo vision; determining discrete motion from points and lines; tracking tokens over time; motion fields of curves; interpolating and approximating three-dimensional data; recognizing and locating objects and places; answers to problems. Appendices: constrained optimization; some results from algebraic geometry; differential geometry.Reviews""A magnificant tour de force. Three-Dimensional Computer Vision deals with an extremely broad and important chunk of computer vision and covers the area with excellent breadth. It provides examples of the described techniques being applied to real images, and it is built on the kind of solid mathematical underpinnings that are essential if the field is to move from the 'black art' stage to a real science. Anyone who claims to be serious about research in this area absolutely must be aware of this work."" W. Eric L. Grimson, AI Laboratory, M.I.T. A magnificant tour de force. Three-Dimensional Computer Vision deals with an extremely broad and important chunk of computer vision and covers the area with excellent breadth. It provides examples of the described techniques being applied to real images, and it is built on the kind of solid mathematical underpinnings that are essential if the field is to move from the 'black art' stage to a real science. Anyone who claims to be serious about research in this area absolutely must be aware of this work. --W. Eric L. Grimson, AI Laboratory, M.I.T. Author InformationOlivier Faugeras is Research Director and head of a computer vision group at INRIA and Adjunct Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology. He is the author of Three-Dimensional Computer Vision (MIT Press, 1993). Tab Content 6Author Website:Countries AvailableAll regions |