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Carnegie Mellon Robotics Institute

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Abstract

An algorithm is proposed to determine surface orientation and roughness for specular lobe dominant surfaces under photometric sampling. From the image sequence, surface reflectance and orientation are obtained by determining the parameters of the reflectance model. The validity of this approach is demonstrated by applying it to real specular lobe dominant surfaces and examining orientation errors.

Notes

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

Text Reference

T. Kiuchi and Katsushi Ikeuchi, "Roughness and Shape of Specular Lobe Surfaces Using Photometric Sampling Method," Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, June, 1993, pp. 765 - 766.

BibTeX Reference

@inproceedings{Ikeuchi_1993_1357,
   author = "T. Kiuchi and Katsushi Ikeuchi",
   title = "Roughness and Shape of Specular Lobe Surfaces Using Photometric Sampling Method",
   booktitle = "Proceedings of IEEE Conference on Computer Vision and Pattern Recognition",
   pages = "765 - 766",
   month = "June",
   year = "1993",
}

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