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» Recovering Spheres from 3D Point Data
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CVPR
2012
IEEE
11 years 11 months ago
Point cloud matching based on 3D self-similarity
Point cloud is one of the primitive representations of 3D data nowadays. Despite that much work has been done in 2D image matching, matching 3D points achieved from different pers...
Jing Huang, Suya You
FOCM
2008
100views more  FOCM 2008»
13 years 8 months ago
Meshfree Thinning of 3D Point Clouds
An efficient data reduction scheme for the simplification of a surface given by a large set X of 3D point-samples is proposed. The data reduction relies on a recursive point remov...
Nira Dyn, Armin Iske, Holger Wendland
MICCAI
2007
Springer
14 years 2 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
MVA
1994
100views Computer Vision» more  MVA 1994»
13 years 10 months ago
Reconstruction of 3-D Terrain Data from Contour Map
This pqm pments a rasterbased algorithm for reconstruction of 3-D terrain data from contour information appearing on the conventional 2-D map The height of an interior point betwe...
Jin-Seon Lee, Seung Jong Chung
ICPR
2006
IEEE
14 years 10 months ago
Using Specularities to Recover Multiple Light Sources in the Presence of Texture
Recovering multiple point light sources from a sparse set of photographs in which objects of unknown texture can move is challenging. This is because both diffuse and specular ref...
Pascal Lagger, Pascal Fua