A Pyramid Framework for Early Vision - Multiresolutional Computer Vision (Hardcover)

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.

General

Imprint:	Kluwer Academic Publishers
Country of origin:	United States
Series:	The Springer International Series in Engineering and Computer Science, v. 251
Release date:	December 1993
Authors:	Jean-Michel Jolion • Azriel Rosenfeld
Dimensions:	230mm (L)
Format:	Hardcover
Pages:	232
ISBN-13:	978-0-7923-9402-0
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision
LSN:	0-7923-9402-X
Barcode:	9780792394020

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