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UAI
2004
13 years 9 months ago
Recovering Articulated Object Models from 3D Range Data
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 d...
Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang,...
ICCV
2003
IEEE
14 years 9 months ago
Stochastic Refinement of the Visual Hull to Satisfy Photometric and Silhouette Consistency Constraints
An iterative method for reconstructing a 3D polygonal mesh and color texture map from multiple views of an object is presented. In each iteration, the method first estimates a tex...
John Isidoro, Stan Sclaroff
ICCV
1998
IEEE
14 years 9 months ago
Shape Recovery Using Dynamic Subdivision Surfaces
A new dynamic subdivision surface model is proposed for shape recovery from 3D data sets. The model inherits the attractive properties of the Catmull-Clark subdivision scheme and ...
Chhandomay Mandal, Baba C. Vemuri, Hong Qin
ECCV
2008
Springer
14 years 9 months ago
3D Face Model Fitting for Recognition
This paper presents an automatic efficient method to fit a statistical deformation model of the human face to 3D scan data. In a global to local fitting scheme, the shape parameter...
Frank B. ter Haar, Remco C. Veltkamp
MICCAI
2006
Springer
14 years 8 months ago
Probabilistic Brain Atlas Encoding Using Bayesian Inference
This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...
Koen Van Leemput