Perceptual Organization for Artificial Vision Systems:
Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was 'Assessing the State of the Com...
Gespeichert in:
| Weitere Verfasser: | , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boston, MA
Springer US
2000
|
| Schriftenreihe: | The Kluwer International Series in Engineering and Computer Science
546 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was 'Assessing the State of the Community and Charting New Research Directions.' Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization. Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision |
| Beschreibung: | 1 Online-Ressource (XIII, 349 p) |
| ISBN: | 9781461544135 |
| DOI: | 10.1007/978-1-4615-4413-5 |
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| spelling | Perceptual Organization for Artificial Vision Systems edited by Kim L. Boyer, Sudeep Sarkar Boston, MA Springer US 2000 1 Online-Ressource (XIII, 349 p) txt rdacontent c rdamedia cr rdacarrier The Kluwer International Series in Engineering and Computer Science 546 Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was 'Assessing the State of the Community and Charting New Research Directions.' Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization. Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Computer science Computer graphics Image processing Bildverstehen (DE-588)4202022-0 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 1999 Kerkira gnd-content Bildverstehen (DE-588)4202022-0 s Maschinelles Sehen (DE-588)4129594-8 s 2\p DE-604 Boyer, Kim L. edt Sarkar, Sudeep edt Erscheint auch als Druck-Ausgabe 9781461369868 https://doi.org/10.1007/978-1-4615-4413-5 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Perceptual Organization for Artificial Vision Systems Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Computer science Computer graphics Image processing Bildverstehen (DE-588)4202022-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4202022-0 (DE-588)4129594-8 (DE-588)1071861417 |
| title | Perceptual Organization for Artificial Vision Systems |
| title_auth | Perceptual Organization for Artificial Vision Systems |
| title_exact_search | Perceptual Organization for Artificial Vision Systems |
| title_full | Perceptual Organization for Artificial Vision Systems edited by Kim L. Boyer, Sudeep Sarkar |
| title_fullStr | Perceptual Organization for Artificial Vision Systems edited by Kim L. Boyer, Sudeep Sarkar |
| title_full_unstemmed | Perceptual Organization for Artificial Vision Systems edited by Kim L. Boyer, Sudeep Sarkar |
| title_short | Perceptual Organization for Artificial Vision Systems |
| title_sort | perceptual organization for artificial vision systems |
| topic | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Computer science Computer graphics Image processing Bildverstehen (DE-588)4202022-0 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Computer Science Computer Imaging, Vision, Pattern Recognition and Graphics Image Processing and Computer Vision Computer science Computer graphics Image processing Bildverstehen Maschinelles Sehen Konferenzschrift 1999 Kerkira |
| url | https://doi.org/10.1007/978-1-4615-4413-5 |
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