Perceptual Organization for Artificial Vision Systems
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Beschreibung
Contributing Authors. 1. Introduction; K.L. Boyer, S. Sarkar. Part I: Focused Deliberations. 2. Principles and Methods; D. Jacobs, et al. 3. Learning and Perceptual Organization; E. Saund, et al. 4. Spatiotemporal Grouping; K.L. Boyer, et al. Part II: Discourses in Human and Machine Vision. 5. Gestalt: From Phenomena to Laws; M. Kubovy, S. Gepshtein. 6. Convexity in Perceptual Completion; Z. Liu, et al. 7. A Gestalt Model of Spatial Perception; S. Lehar. 8. What Makes Viewpoint Invariant Properties Perceptually Salient? D. Jacobs. 9. Contour and Texture Analysis for Image Segmentation; J. Malik, et al. 10. Perceptual Organization for Generic Object Description; R. Nevatia. 11. Toward Richer Labels for Visual Structure; E. Saund. 12. Tensor Voting; C.-K. Tang, et al. 13. An observation on saliency; M. Lindenbaum, A. Berengolts. 14. Closed Curves in the Analysis and Segmentation of Images; K.K. Thornberg, L.R. Williams. 15. The curve indicator random field: Curve organization via edge correlation; J. August, S.W. Zucker. 16. Euler Spiral for Shape Completion; B.B. Kimia, et al. 17. Bayesian Extraction of Collinear Segment Chains from Digital Images; D. Crevier. 18. Object Detection by Multiprimitive Preattentive Perceptual Organization; P. Vasseur, et al. Index.
Eigenschaften
Gewicht: | 693 g |
Höhe: | 235 |
Seiten: | 349 |
Sprachen: | Englisch |
Autor: | Kim L. Boyer, Sudeep Sarkar |
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