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This paper describes work aimed at consistently labelling surface facets using topographic classes derived from mean and Gaussian curvature measurements. There are two distinct contributions. Firstly, we develop a statistical model which allows label probabilities to be assigned to the di!erent topographic classes. These probabilities capture uncertainties in the computation of surface curvature from raw surface normal information. The probabilities are computed using propagation of variancedoi:10.1016/s0031-3203(98)00146-0 fatcat:dab7srebznd33pggdpbbz6kirm