A pyramid framework for early vision
multiresolutional computer vision
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Contributions
- Rosenfeld, Azriel, 1931- - Contributor
Publication
1994 - Kluwer Academic Publishers, Dordrecht
Language
English
Word Count
54,500 words, Guess
Page Count
218 pages
Identifiers
- Open LibraryOL1426389M
- ISBN-10079239402X
- OCLC Control Number28928461
- OCLC Control Numberpyramidframework0000joli
- Library of Congress Control Number93037464
and 1 more
- Goodreads3015957
Classifications
- DDC006.3/7
- LCCTA1634 .J65 1994
Description
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.
Subjects
Topics
Series Statement
- The Kluwer international series in engineering and computer science ;
Other Editions
- A pyramid framework for early vision
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