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A Pyramid Framework For Early Vision: Multiresolutional Computer Vision (the Springer International Series In Engineering And Computer Science) by Jean-Michel Jolion, Azriel Rosenfeld (auth.), Jean-Michel Jolion, Azriel Rosenfeld (eds.) is a nonfiction available to read on EtoBox.

What is A Pyramid Framework For Early Vision: Multiresolutional Computer Vision (the Springer International Series In Engineering And Computer Science) about?

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.

Who reads A Pyramid Framework For Early Vision: Multiresolutional Computer Vision (the Springer International Series In Engineering And Computer Science)?

Author

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

Publisher

Springer US

Published

1994

Language

EN

ISBN

9781461362074

Category

nonfiction

Subjects

Technology, Engineering, Computer Science