Space/frequency shape inference and segmentation of textured three-dimensional surfaces
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Summary
It is shown how the space/frequency representation has the potential for unifying several different computer vision algorithms by showing how the spatial frequency shifts caused by perspective can be approximated by an affine transformation which is a function of the textured surface's surface normal.
- Type
- article
- Published
- 1993-01-11
- Cited by
- 2
- References
- 0
- OpenAlex
- https://openalex.org/W2498890493
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:124291708
Keywords
Artificial intelligence, Image texture, Computer vision, Texture filtering, Segmentation
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