A Pyramid Framework for Early Vision
Subtitle: Multiresolutional Computer Vision
By: edited by Jean-Michel Jolion, Azriel Rosenfeld
Contributors: Rosenfeld, Azriel
Series: The Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors -- 251; Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors -- 251.
Publisher: Springer US
Published: 1994
Place of publication: Boston, MA
Language: eng
Format: [electronic resource] :
Number of pages: 218
ISBN-13: 9781461362074; 9781461527923
Subjects: Computer vision; Computer science
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. 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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