We introduce a noise-resistant algorithm for reconstructing a watertight surface from point cloud data. It forms a Delaunay tetrahedralization, then uses a variant of spectral graph partitioning to decide whether each tetrahedron is inside or out

This paper addresses the problem of segmenting an image into regions. We de¯ ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an e±cient segmentation

In this paper we present Discriminative Random Fields (DRF), a discrim- inative framework for the classification of natural image regions by incor- porating neighborhood spatial dependencies in the labels as well as the observed data. The proposed mo