Recognition of documents of poor image quality is a challenging and important problem from a practical point of view. In traditional approaches, features such as center lines of strokes or contours are extracted from binary images obtained by thresholding the gray-scale intensity images. Wang and Pa
Structure-from-motion based on information at surface boundaries
โ Scribed by William B. Thompson; Daniel Kersten; William R. Knecht
- Publisher
- Springer-Verlag
- Year
- 1992
- Tongue
- English
- Weight
- 1019 KB
- Volume
- 66
- Category
- Article
- ISSN
- 0340-1200
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โฆ Synopsis
Existing computational models of structurefrom-motion-the appearance of three-dimensional motion generated by moving two-dimensional patterns-are all based on variations of Optical flow or feature point correspondence within the interior of single objects. Three separate phenomena provide strong evidence that in human vision, structure-from-motion is significantly affected by surface boundary cues. In the first, a rotating cylinder is seen, though no variation in optical flow exists across the apparent cylinder. In the second, the shape of the bounding contour of a moving pattern dominates the actual differential motion within the pattern. In the third, the appearance of independently moving objects changes significantly when the boundary between them becomes indistinct. We describe a simple computational model sufficient to account for these effects. The model is based on qualitative constraints relating possible object motions to patterns of flow, together with an understanding of the patterns of flow that can be discriminated in practice.
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