A Pyramid Framework for Early Vision: Multiresolutional Computer Vision
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 descr...
Gespeichert in:
| Weitere beteiligte Personen: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boston, MA
Springer US
1994
|
| Schriftenreihe: | The Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors
251 |
| Schlagwörter: | |
| Links: | https://doi.org/10.1007/978-1-4615-2792-3 https://doi.org/10.1007/978-1-4615-2792-3 |
| Zusammenfassung: | 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 |
| Umfang: | 1 Online-Ressource (XII, 218 p) |
| ISBN: | 9781461527923 |
| DOI: | 10.1007/978-1-4615-2792-3 |
Internformat
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| 520 | |a 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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Datensatz im Suchindex
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| author2 | Jolion, Jean-Michel Rosenfeld, Azriel |
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-1-4615-2792-3 |
| format | Electronic eBook |
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| id | DE-604.BV045185446 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:20:09Z |
| institution | BVB |
| isbn | 9781461527923 |
| language | English |
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| physical | 1 Online-Ressource (XII, 218 p) |
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| publishDate | 1994 |
| publishDateSearch | 1994 |
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| publisher | Springer US |
| record_format | marc |
| series2 | The Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors |
| spelling | A Pyramid Framework for Early Vision Multiresolutional Computer Vision edited by Jean-Michel Jolion, Azriel Rosenfeld Boston, MA Springer US 1994 1 Online-Ressource (XII, 218 p) txt rdacontent c rdamedia cr rdacarrier The Kluwer International Series in Engineering and Computer Science, Robotics: Vision, Manipulation and Sensors 251 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 Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Control, Robotics, Mechatronics Computer science Computer graphics Image processing Control engineering Robotics Mechatronics Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 s 1\p DE-604 Jolion, Jean-Michel edt Rosenfeld, Azriel edt Erscheint auch als Druck-Ausgabe 9781461362074 https://doi.org/10.1007/978-1-4615-2792-3 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | A Pyramid Framework for Early Vision Multiresolutional Computer Vision Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Control, Robotics, Mechatronics Computer science Computer graphics Image processing Control engineering Robotics Mechatronics Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4129594-8 |
| title | A Pyramid Framework for Early Vision Multiresolutional Computer Vision |
| title_auth | A Pyramid Framework for Early Vision Multiresolutional Computer Vision |
| title_exact_search | A Pyramid Framework for Early Vision Multiresolutional Computer Vision |
| title_full | A Pyramid Framework for Early Vision Multiresolutional Computer Vision edited by Jean-Michel Jolion, Azriel Rosenfeld |
| title_fullStr | A Pyramid Framework for Early Vision Multiresolutional Computer Vision edited by Jean-Michel Jolion, Azriel Rosenfeld |
| title_full_unstemmed | A Pyramid Framework for Early Vision Multiresolutional Computer Vision edited by Jean-Michel Jolion, Azriel Rosenfeld |
| title_short | A Pyramid Framework for Early Vision |
| title_sort | a pyramid framework for early vision multiresolutional computer vision |
| title_sub | Multiresolutional Computer Vision |
| topic | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Control, Robotics, Mechatronics Computer science Computer graphics Image processing Control engineering Robotics Mechatronics Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Control, Robotics, Mechatronics Computer science Computer graphics Image processing Control engineering Robotics Mechatronics Maschinelles Sehen |
| url | https://doi.org/10.1007/978-1-4615-2792-3 |
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