Jolion / Rosenfeld A Pyramid Framework for Early Vision

Multiresolutional Computer Vision
Erscheinungsjahr 2012
ISBN: 978-1-4615-2792-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 251, 218 Seiten, eBook

Reihe: The Springer International Series in Engineering and Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Jolion, Jean-Michel

Rosenfeld, Azriel

Inhaltsverzeichnis

Hierarchical Frameworks for Early Vision.- Pyramid Based Visual Modules.- Integration and Extensions.- References.