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Cover Art
E-RESOURCE
Author Jolion, Jean-Michel.

Title A Pyramid Framework for Early Vision [electronic resource] : Multiresolutional Computer Vision / edited by Jean-Michel Jolion, Azriel Rosenfeld.

Published Boston, MA : Springer US, 1994.

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (xii, 218 pages).
Series The Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors, 0893-3405 ; 251
Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors ; 251.
Summary 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. A Pyramid Framework for Early Vision 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.
Other author Rosenfeld, Azriel.
Subject Computer science.
Computer vision.
Electronic books.
ISBN 9781461527923 (electronic bk.)
1461527929 (electronic bk.)
9781461362074
1461362075