Paper
1 September 1991 Efficient visual representation and reconstruction from generalized curvature measures
Author Affiliations +
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.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Erhardt Barth, Terry M. Caelli, and Christoph Zetzsche "Efficient visual representation and reconstruction from generalized curvature measures", Proc. SPIE 1570, Geometric Methods in Computer Vision, (1 September 1991); https://doi.org/10.1117/12.49977
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Machine vision

Computer vision technology

Reconstruction algorithms

Visualization

Computer programming

Image filtering

Signal processing

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