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Abstract

This paper describes an algorithm to obtain local surface orientation from the apparent surface-pattern distortion in an image.

We propose a spherical projection to model perspective imaging. A mapping is defined based on the measurement of the local distortions of a repeated known texture pattern due Io the image projection. This mapping maps an apparent shape on the image sphere lo a locus of possible surface orientations on the Gaussian sphere.

An iterative constraint propagation algorithm with the orientations at occluding boundaries reduces possible surface orientations to a unique orientation. This algorithm can recover local surface orientation as well as interpolate surface orientations where no information is available. This algorithm is applied to a real image to demonstrate its performance.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference

Katsushi Ikeuchi, "Shape from Regular Patterns," Artificial Intelligence, No. 22, 1984, pp. 49 - 75.

BibTeX Reference

@article{Ikeuchi_1984_4241,
   author = "Katsushi Ikeuchi",
   title = "Shape from Regular Patterns",
   journal = "Artificial Intelligence",
   pages = "49 - 75",
   year = "1984",
   number = "22",
}

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