Proceedings Paper
Efficient visual representation and reconstruction from generalized curvature measures| Format | Member Price | Non-Member Price |
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Paper Abstract
This paper considers how basic geometrical properties like curvature, rigidity, and possible embeddings can be related to efficient image encoding and the statistical concept of redundancy. In particular, the redundancy of planar and parabolic patches of images as surfaces is revealed by reconstructing the original image from curvature measures that are zero for non-elliptic regions. This approach also gives a new perspective on encoding principles in biological vision.
Paper Details
Date Published: 1 September 1991
PDF: 10 pages
Proc. SPIE 1570, Geometric Methods in Computer Vision, (1 September 1991); doi: 10.1117/12.49977
Published in SPIE Proceedings Vol. 1570:
Geometric Methods in Computer Vision
Baba C. Vemuri, Editor(s)
PDF: 10 pages
Proc. SPIE 1570, Geometric Methods in Computer Vision, (1 September 1991); doi: 10.1117/12.49977
Show Author Affiliations
Erhardt Barth, Ludwig-Maximilians-Univ. Muenchen (Germany)
Terry M. Caelli, Univ. of Melbourne (Australia)
Terry M. Caelli, Univ. of Melbourne (Australia)
Christoph Zetzsche, Technische Univ. Muenchen (Germany)
Published in SPIE Proceedings Vol. 1570:
Geometric Methods in Computer Vision
Baba C. Vemuri, Editor(s)
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