Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 589)
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Table of contents (7 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Computer graphics and computer vision can be viewed as different sides of the same coin. In graphics, algorithms are given knowledge about the world in the form of models, cameras, lighting, etc., and infer (or render) an image of a scene. In vision, the process is the exact opposite: algorithms are presented with an image, and infer (or interpret) the configuration of the world. This work focuses on using computer graphics to interpret camera images: using iterative rendering to predict what should be visible by the camera and then testing and refining that hypothesis.
Features of the book include:
- Many illustrations to supplement the text;
- A novel approach to the integration of graphics and vision;
- Genetic algorithms for vision;
- Innovations in closed loop object recognition.
Authors and Affiliations
Bibliographic Information
Book Title: Integrating Graphics and Vision for Object Recognition
Authors: Mark R. Stevens, J. Ross Beveridge
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4757-5524-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2001
Hardcover ISBN: 978-0-7923-7207-3Published: 31 October 2000
Softcover ISBN: 978-1-4419-4860-1Published: 07 December 2010
eBook ISBN: 978-1-4757-5524-4Published: 29 June 2013
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XII, 184
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Computer Graphics, Control, Robotics, Mechatronics, Artificial Intelligence, Image Processing and Computer Vision