A pyramid framework for early vision
multiresolutional computer vision
by Jean-Michel Jolion and Azriel Rosenfeld
- 1 Currently reading
Biological visual systems employ massively parallel processing to perform real-world visual tasks in real time. A key to this remarkable performance seems to be that biological systems construct representations of their visual image data at multiple scales.
A Pyramid Framework for Early Vision describes a multiscale, or 'pyramid', approach to vision, including its theoretical foundations, a set of pyramid-based modules for image processing, object detection, texture discrimination, contour detection and processing, feature detection and description, and motion detection and tracking. It also shows how these modules can be implemented very efficiently on hypercube-connected processor networks.
The volume is intended for both students of vision and vision system designers; it provides a general approach to vision systems design as well as a set of robust, efficient vision modules.
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Previews available in: English
| Edition | Availability |
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1
A Pyramid Framework for Early Vision: Multiresolutional Computer Vision
Sep 26, 2011, Springer
paperback
1461527937 9781461527930
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2
A pyramid framework for early vision: multiresolutional computer vision
1994, Kluwer Academic Publishers
in English
079239402X 9780792394020
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3
A Pyramid Framework for Early Vision: Multiresolutional Computer Vision (The International Series in Engineering and Computer Science)
December 31, 1993, Springer
Hardcover
in English
- 1 edition
079239402X 9780792394020
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Includes bibliographical references (p. 187-215) and index.
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