A Volumetric Method for Building Complex Models from Range Images
Brian Curless, Marc Levoy
Abstract
A number of techniques have been developed for reconstructing surfaces by integrating groups of aligned range images. A desirable set of properties for such algorithms includes: incremental updating, representation of directional uncertainty, the ability to fill gaps in the reconstruction, and robustness in the presence of outliers. Prior algorithms possess subsets of these properties. In this paper, we present a volumetric method for integrating range images that possesses all of these properties
Topics & Concepts
OutlierRobustness (evolution)Range (aeronautics)Computer scienceArtificial intelligenceRepresentation (politics)Computer visionSet (abstract data type)Pattern recognition (psychology)AlgorithmEngineeringLawChemistryGeneAerospace engineeringPoliticsBiochemistryProgramming languagePolitical scienceComputer Graphics and Visualization TechniquesAdvanced Vision and Imaging3D Shape Modeling and Analysis