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» MMM-classification of 3D range data
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ICVGIP
2004
15 years 3 months ago
The Space of Human Shapes
We develop a novel method for fitting high-resolution template meshes to detailed human body range scans with sparse 3D markers. We formulate an optimization problem in which the ...
Brian Curless
TROB
2008
86views more  TROB 2008»
15 years 1 months ago
Fusing Monocular Information in Multicamera SLAM
Abstract--This paper explores the possibilities of using monocular simultaneous localization and mapping (SLAM) algorithms in systems with more than one camera. The idea is to comb...
Joan Solà, André Monin, Michel Devy,...
IJRR
2010
102views more  IJRR 2010»
15 years 11 days ago
Space-carving Kernels for Accurate Rough Terrain Estimation
Abstract— Accurate terrain estimation is critical for autonomous offroad navigation. Reconstruction of a 3D surface allows rough and hilly ground to be represented, yielding fast...
Raia Hadsell, J. Andrew Bagnell, Daniel F. Huber, ...
CVPR
2011
IEEE
14 years 10 months ago
High-quality shape from multi-view stereo and shading under general illumination
Multi-view stereo methods reconstruct 3D geometry from images well for sufficiently textured scenes, but often fail to recover high-frequency surface detail, particularly for smo...
Chenglei Wu, Bennett Wilburn, Yasuyuki Matsushita,...
WACV
2005
IEEE
15 years 7 months ago
Patchlets: Representing Stereo Vision Data with Surface Elements
This paper describes a class of augmented surface elements which we call patchlets. Patchlets are planar surface elements generated from dense stereo vision 3D range images. Patch...
Don Murray, James J. Little