Surface Growing from Stereo Images
We have developed a new method for surface reconstruction from stereo images. For a given initial seed point, i.e. for a pair of corresponding points in the left and right image, the proposed algorithm grows the surface without directly computing the point correspondences. The method assumes the Lambertian surface reflectance model. Our approach is based on a surface normal calculation from the left and right image gradients. Knowing the surface normal, the algorithm grows the surface in the directions defined by the tangent plane. This is illustrated in Fig. 1, while Fig. 2 shows a zoomed-in view of the initially grown surface superimposed on the two camera views and Fig. 3 shows the reconstructed surface. The algorithm is independent of the camera model, and requires the placement of an initial seed point for each surface to be reconstructed. Experimental results on real brain images show that the surface reconstruction algorithm is robust to the position of the initial seed point.
 Skrinjar, O., Tagare, H., Duncan, J., "Surface Growing from Stereo Images", IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head Island, SC, USA, Volume 2, pp. 571-576, June 2000. LINK