Sorry, the book that you are looking for is not available right now.
We did a search for other books with a similar title, and found some results for you that may be helpful.
This monograph by one of the world's leading vision researchers 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 important 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 programs. "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 indifferent settings, resulting in a general book on computer vision that reveals the fascinating relationship of three-dimensional geometry and the imaging process. Olivier Faugeras is Research Director of the Computer Vision and Robotics Laboratory at INRIA Sophia-Antipolis and a Professor of Applied Mathematics at the Ecole Polytechnique in Paris.
"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.
|Projective Geometry||p. 7|
|Modeling and Calibrating Cameras||p. 33|
|Edge Detection||p. 69|
|Representing Geometric Primitives and Their Uncertainty||p. 125|
|Stereo Vision||p. 165|
|Determining Discrete Motion from Points and Lines||p. 245|
|Tracking Tokens over Time||p. 301|
|Motion Fields of Curves||p. 341|
|Interpolating and Approximating Three-Dimensional Data||p. 403|
|Recognizing and Locating Objects and Places||p. 483|
|Answers to Problems||p. 559|
|A. Constrained Optimization||p. 623|
|B. Some Results from Algebraic Geometry||p. 625|
|C. Differential Geometry||p. 629|
|Table of Contents provided by Blackwell. All Rights Reserved.|
Series: Artificial Intelligence Series
For Ages: 18+ years old
Number Of Pages: 700
Published: 19th November 1993
Country of Publication: US
Dimensions (cm): 23.1 x 16.1 x 5.2
Weight (kg): 1.01