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» 2D and 3D Shape Based Segmentation Using Deformable Models
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MICCAI
2000
Springer
15 years 1 months ago
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical informati...
Dinggang Shen, Christos Davatzikos
ICIP
2001
IEEE
15 years 11 months ago
Use of a probabilistic shape model for non-linear registration of 3D scattered data
In this paper we address the problem of registering 3D scattered data by the mean of a statistical shape model. This model is built from a training set on which a principal compon...
Isabelle Corouge, Christian Barillot
ICCV
2005
IEEE
15 years 3 months ago
Automatic 3D Face Modeling from Video
In this paper, we develop an efficient technique for fully automatic recovery of accurate 3D face shape from videos captured by a low cost camera. The method is designed to work ...
Le Xin, Qiang Wang, Jianhua Tao, Xiaoou Tang, Tien...
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ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
15 years 3 months ago
3D Model Retrieval Based on Depth Line Descriptor
In this paper, we propose a novel 2D/3D approach for 3D model matching and retrieving. Each model is represented by a set of depth lines which will be afterward transformed into s...
Mohamed Chaouch, Anne Verroust-Blondet
MICCAI
2003
Springer
15 years 10 months ago
Segmentation, Registration, and Deformation Analysis of 3D MR Images of Mice
We demonstrate our mouse MR image and shape analysis pipeline. The long term goal of our work is the description of structural shape variations in normal, genetically identical mic...
Ghassan Hamarneh, Josette Chen, Brian Neiman, Jeff...