This paper describes methods for segmenting planar surfaces from noisy 3D data obtained from correlation stereo vision. We make use of local planar surface elements called patchle...
We present an alternate approach to the problem of structure from motion (SfM) with noisy point measurements. With no information available about the joint density of three-dimens...
We present a computational framework for the inference of dense descriptions from multiple view stereo with general camera placement. Thus far research on dense multiple view ster...
Object modeling under consideration of geometric constraints is an important task. In this paper we describe a novel approach to achieving this goal. It has the nice property that...
In this work, we present an adaptive space carving method for scene reconstruction from a set of images obtained from low cost calibrated webcams. Our method uses a combination of...
Anselmo Antunes Montenegro, Paulo Cezar Pinto Carv...
In this paper, we propose a viewer for huge point-sampled models by combining out-of-core technologies with view-dependent level-of-detail (LOD) control. This viewer is designed o...
Gridded volumetric data sets representing simulation or tomography output are commonly visualized by displaying a triangulated isosurface for a particular isovalue. When the grid ...
Ajith Mascarenhas, Martin Isenburg, Valerio Pascuc...
By reconstructing time-varying geometry one frame at a time, one ignores the continuity of natural motion, wasting useful information about the underlying video-image formation pr...
We present a novel method for recovering the 3D-line structure of a scene from multiple widely separated views. Traditional optimization-based approaches to line-based structure f...
Grant Schindler, Panchapagesan Krishnamurthy, Fran...