
A Pyramid Framework for Early Vision
Multiresolutional Computer Vision (The International Series in Engineering and Computer Science)
Edición de la obra A pyramid framework for early vision
| Autor | Jean-Michel Jolion, Azriel Rosenfeld |
|---|---|
| Editorial | Springer |
| Fecha de publicación | December 31, 1993 |
| Idioma | inglés |
| Páginas | 232 |
| Formato | Hardcover |
| ISBN-13 | 9780792394020 |
| ISBN-10 | 079239402X |
| Número de Cutter | J75p |
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.