A Pyramid Framework for Early Vision: Multiresolutional Computer Vision

✍ Scribed by Jean-Michel Jolion, Azriel Rosenfeld (auth.), Jean-Michel Jolion, Azriel Rosenfeld (eds.)

• Publisher: Springer US
• Year: 1994
• Tongue: English
• Leaves: 230
• Series: The Kluwer International Series in Engineering and Computer Science 251
• Edition: 1
• Category: Library

✦ 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. 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.

✦ Table of Contents

Front Matter....Pages i-xii
Introduction....Pages 1-5
Hierarchical Frameworks for Early Vision....Pages 6-61
Pyramid Based Visual Modules....Pages 62-169
Integration and Extensions....Pages 170-186
Back Matter....Pages 187-218

✦ Subjects

Computer Imaging, Vision, Pattern Recognition and Graphics; Image Processing and Computer Vision; Control, Robotics, Mechatronics