In this paper, we present a novel modeling method for synthesizing rough surfaces using discrete surface growth models. We employ a two-pass method. Initial point cluster data is ...
Traditional approaches for surface reconstruction from range data require that the input data be either range images or unorganized sets of points. Since a large number of range s...
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
We propose an energy-based framework for approximating surfaces from a cloud of point measurements corrupted by noise and outliers. Our energy assigns a tangent plane to each (noi...
A novel approach for appearance and geometry completion over point-sampled geometry is presented in this paper. Based on the result of surface clustering and the given texture samp...