ENGLISH

A Pyramid Framework for Early Vision: Multiresolutional Computer Vision

By Azriel Rosenfeld (auth.) , Azriel Rosenfeld (eds.) , Jean-Michel Jolion

Book information

Publisher
Springer US
Year
1994
ISBN
978-1-4613-6207-4, 978-1-4615-2792-3
DOI
10.1007/978-1-4615-2792-3
Language
english
Format
PDF
Filesize
3 MB (3127810 bytes)
Series
The Kluwer International Series in Engineering and Computer Science 251
Edition
1
Pages
218\230
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Computer ImagingMechatronicsPattern Recognition and Graphics; Image ProcessingRoboticsVision

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. APyramid 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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