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

Keywords

Artificial intelligence, Image texture, Computer vision, Texture filtering, Segmentation

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