A Pyramid Framework for Early Vision: Multiresolutional Computer Vision (The Springer International Series in Engineering and Computer Science)

Jean-Michel Jolion

ISBN 10: 1461362075 / ISBN 13: 9781461362074

Published by Springer, 2012

About this Item

218 pages. 9.45x6.30x0.54 inches. In Stock.

Seller Inventory # x-1461362075

Bibliographic Details

• Title: A Pyramid Framework for Early Vision: Multiresolutional Computer Vision (The Springer International Series in Engineering and Computer Science)
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 1461362075
• ISBN 13: 9781461362074
• Binding: Paperback
• Condition: Brand New
• Weight: 0.38 kilograms

About this title

Synopsis

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.