Abstract: This paper describes the utilization of color information to increase the accuracy of 3D shapes derived from photometric stereo. We consider multi-colored objects under white illumination. Using color images rather than gray-scale makes it simple to separate the specular and diffuse reflection components. The diverse properties of diffuse and specular reflection yield supplementing constraints on the surface orientation, making the method less sensitive to noise.

One-line summary: An extension of color photometric stereo to compute the 3D shape of surfaces with more than one material.

Published in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 767-768. IEEE, June 1993. (New York City, USA, June 15-17.)

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