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In this paper, an algorithm for extracting three-dimension shape of human face from two 2D images using grid light is presented. The grid pattern is illuminated by incandescence light instead of laser in order to protect human eyes or skin and reduce cost . An uncoded grid pattern is projected on human face to solve the problem of correspondence between a pair of stereo images. Two images acquired at same time are smoothed to diminish noise at first. Then grid stripes from these images are extracted and thinned by a marked watershed algorithm. A new method based on graph connectivity to locate and label grid intersections from these images is also presented. According to labeling principles, a set of matched points is build. The set of matched points are further used to calculate three-dimension-depth information of human face. Experiment results show the feasibility of the proposed method.

3-D Face Modeling from Two Views and Grid Light