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A variational framework for shape from contours — Research Report CERMICS-2002-221 b

We describe a new way to reconstruct the surface of an object from multiple views. We use the level sets method to get a surface such that its apparent contours are compatible with the images. We enforce, as much as possible, the apparent contours to be projected in each image in areas where the magnitude of the gradient of the grey level is high. Our approach is new for two reasons: we do not extract any contour in the images and we deal with the problem of occlusion. As a result, we do not obtain the classical ”visual hull” [24] but a minimal surface which is closer to the actual shape of the object. Furthermore, our work can complement the approach of Faugeras and Keriven [14], thus getting a robust way to recover shape both from contours and from stereo-correlation.