The USC Andrew and Erna Viterbi School of Engineering USC Signal and Image Processing Institute USC Ming Hsieh Department of Electrical and Computer Engineering University of Southern California

Technical Report USC-SIPI-260

“Shape from Photometric Ratio and Stereo”

by Kyong Mu Lee and C.-C. Jay Kuo

June 1994

We propose a new scheme to integrate the two important depth information sources, i.e. shading and stereo, in a single framework in this research. By using the ratio of two photometric stereo images, we first derive a new constraint on the local surface structure so that no albedo information is needed for shape reconstruction. Then, by employing perspective projection on a parametric surface model, we establish a unified geometrical framework for the integration of shading and stereo. The depth map is directly recovered by minimizing a cost functional which consists of a weighted sum of shading and stereo error terms. Simulation results are given to show the performance of our new robust algorithm.

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