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A Pyramid Framework for Early Vision: Multiresolutional Computer Vision: The Springer International Series in Engineering and Computer Science, cartea 251

Autor Jean-Michel Jolion, Azriel Rosenfeld
en Limba Engleză Paperback – 21 noi 2012
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.
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Specificații

ISBN-13: 9781461362074
ISBN-10: 1461362075
Pagini: 236
Ilustrații: XII, 218 p.
Dimensiuni: 160 x 240 x 12 mm
Greutate: 0.34 kg
Ediția:Softcover reprint of the original 1st ed. 1994
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Hierarchical Frameworks for Early Vision.- Pyramid Based Visual Modules.- Integration and Extensions.- References.