Refining surface curvature with relaxation labeling

Abstract

Our main contributions in this paper are twofold. In the first instance, we demonstrate how H - K surface labelling can be realised using dictionary-based probabilistic relaxation. To facilitate this implementation we have developed a dictionary of feasible surface-label configurations. These configurations observe certain constraints on the contiguity of elliptic and hyperbolic regions, and, on the continuity and thinness of parabolic lines. The second contribution is to develop a statistical model which allows scheme to be initialised using the probabilities of the different H - K labels to be estimated from surface normal information.