Space-Frequency Shape Inference and Segmentation of 3D 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 &ne transformation which is a function of the textured surface’s surface normal.

Type
dissertation
Published
2016-12-08
Cited by
1
References
121

Keywords

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

References

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