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» Segmentation and Superquadric Modeling of 3D Objects
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UAI
2004
14 years 11 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,...
MTA
2006
195views more  MTA 2006»
14 years 10 months ago
An efficient and robust algorithm for 3D mesh segmentation
Abstract This paper presents an efficient and robust algorithm for 3D mesh segmentation. Segmentation is one of the main areas of 3D object modeling. Most segmentation methods deco...
Lijun Chen 0003, Nicolas D. Georganas
3DPVT
2002
IEEE
186views Visualization» more  3DPVT 2002»
15 years 3 months ago
3D Shape Estimation Based on Density Driven Model Fitting
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt a mod...
Eugene Borovikov, Larry S. Davis
MICCAI
2009
Springer
15 years 7 months ago
Mesh Generation from 3D Multi-material Images
Generating realistic geometric models from 3D segmented images is an important task in many biomedical applications. Segmented 3D images impose particular challenges for meshing a...
Dobrina Boltcheva, Mariette Yvinec, Jean-Daniel Bo...
116
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IPMI
2003
Springer
15 years 11 months ago
Adapting Active Shape Models for 3D Segmentation of Tubular Structures in Medical Images
Active Shape Models (ASM) have proven to be an effective approach for image segmentation. In some applications, however, the linear model of gray level appearance around a contour ...
Marleen de Bruijne, Bram van Ginneken, Max A. Vier...