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» Robust Autonomous Model Learning from 2D and 3D Data Sets
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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
CVPR
2005
IEEE
15 years 11 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
3DGIS
2006
Springer
15 years 3 months ago
3D Navigation for 3D-GIS - Initial Requirements
The needs for three-dimensional (3D) visualization and navigation within 3D-GIS environment are growing and expanding rapidly in a variety of fields. In a steady shift from tradit...
Ivin Amri Musliman, Alias Abdul-Rahman, Volker Coo...
MICCAI
2008
Springer
15 years 10 months ago
Level Set Based Surface Capturing in 3D Medical Images
Brain aneurysm rupture has been reported to be directly related to the size of aneurysms. The current method used to determine aneurysm size is to manually measure the width of th...
Bin Dong, Aichi Chien, Yu Mao, Jian Ye, Stanle...
ICRA
2006
IEEE
146views Robotics» more  ICRA 2006»
15 years 3 months ago
Towards 3D Motion Estimation from Deformable Surfaces
— Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case o...
Adrien Bartoli