A Pyramid Framework for Early Vision: Multiresolutional Computer Vision - Azriel Rosenfeld,Jean-Michel Jolion
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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-b ... Full description
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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.
More Information
| Author | Azriel Rosenfeld, Jean-Michel Jolion |
|---|---|
| Publisher | Springer New York |
| Series | The Springer International Series in Engineering and Computer Science |
| Release year | 2012 |
| Cover type | Softcover |
| EAN | 9781461362074 |