Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun  Home/Search
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Abstract: We address the problem of unsupervised learning of complex articulated object models from 3D range data. We describe an algorithm whose input is a set of meshes corresponding to di#erent configurations of an articulated object. The algorithm automatically recovers a decomposition of the object into approximately rigid parts, the location of the parts in the di#erent object instances, and the articulated object skeleton linking the parts. Our algorithm first registers all the meshes... (Update)
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BibTeX entry: (Update)
Anguelov, D.; Koller, D.; Pang, H.; Srinivasan, P.; and Thrun, S. 2004. Recovering articulated object models from 3D range data. In Proceedings of the Uncertainty in Artificial Intelligence Conference(UAI). http://citeseer.ist.psu.edu/anguelov04recovering.html More
@misc{ anguelov04recovering,
author = "D. Anguelov and D. Koller and H. Pang and P. Srinivasan and S. Thrun",
title = "Recovering articulated object models from 3D range data",
text = "Anguelov, D.; Koller, D.; Pang, H.; Srinivasan, P.; and Thrun, S. 2004.
Recovering articulated object models from 3D range data. In Proceedings
of the Uncertainty in Artificial Intelligence Conference(UAI).",
year = "2004",
url = "citeseer.ist.psu.edu/anguelov04recovering.html" }
Citations (may not include all citations):278 A volumetric method of building complex models from range im.. - Curless, Levoy - 1996
224 Representing moving images with layers - Wang, Adelson - 1994
170 Tracking people with twists and exponential maps - Bregler, Malik - 1998
116 Model-based vision: A program to see a walking person (context) - Hogg - 1983
113 Learning the parts of objects by non-negative matrix factori.. (context) - Lee, Seung - 1999
111 Layered representation of motion video using robust maximum .. - Ayer, Sawhney - 1995
108 A method for registration of 3d shapes (context) - Besl, McKay - 1992
46 Understanding belief propagation and its generalizations (context) - Yedidia, Freeman et al. - 2003
17 Filling holes in complex surfaces using volumetric di#usion - Davis, Marschner et al. - 2002
16 Approximation algorithms for classification problems with pa.. - Kleinberg, Tardos - 1999
15 Tracking of humans in action: a 3-d model-based approach - Gavrila, Davis - 1996
14 Shape-fromsilhouette of articulated objects and its use for .. - Cheung, Baker et al. - 2003
13 Finding deformable shapes using loopy belief propagation - Coughlan, Ferreira - 2002
13 Articulated body posture estimation from multi-camera voxel .. - Mikic, Triverdi et al. - 2001
12 Articulated body deformation from range scan data - Allen, Curless et al. - 2002
10 Unsupervised learning of human motion - Song, Goncalves et al. - 2003
9 Spacetime stereo : A unifying framework for depth from trian.. - Davis, Ramamoothi et al. - 2003
8 When does non-negative matrix factorization give a correct d.. - Donoho, Stodden - 2003
6 Filling holes in meshes (context) - Liepa - 2003
4 Attractive people: Assembling loose-limbed models using non-.. - Sigal, Isard et al. - 2003
4 Tracking articulated objects in realtime range image sequenc.. - Lin - 1999
3 Morphable surface models (context) - Shelton - 2000
3 An extension of the ICP algorithm for modeling nonrigid obje.. (context) - Hahnel, Thrun et al. - 2003
2 Representation and detection of shapes in images - Felzenszwalb - 2003
2 Concurrent object recognition and segmentation with graph pa.. - Yu, Gross et al. - 2002
2 The correlated correspondence algorithm for unsupervised reg.. (context) - Anguelov, Koller et al. - 2004
1 Adaptive principal component analysis (context) - Archer, Leen - 2002
1 Recovering articulated model topology from observed motion - Taycher, Trevor - 2002
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