A pyramid framework for early vision
Subtitle: multiresolutional computer vision
By: by Jean-Michel Jolion and Azriel Rosenfeld.
Contributors: Rosenfeld, Azriel, 1931-
Series: The Kluwer international series in engineering and computer science ;; SECS 251.; Robotics; Kluwer international series in engineering and computer science ;; SECS 251.; Kluwer international series in engineering and computer science.
Publisher: Kluwer Academic Publishers
Published: 1994
Place of publication: Dordrecht; Boston
Language: eng
Number of pages: 218
Subjects: Computer vision -- Mathematical models.
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.

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.

The volume 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.
Notes: Includes bibliographical references (p. 187-215) and index.