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» Robust Autonomous Model Learning from 2D and 3D Data Sets
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SCALESPACE
2009
Springer
15 years 4 months ago
A Multi-scale Feature Based Optic Flow Method for 3D Cardiac Motion Estimation
Abstract. The dynamic behavior of the cardiac muscle is strongly dependent on heart diseases. Optic flow techniques are essential tools to assess and quantify the contraction of t...
Alessandro Becciu, Hans C. van Assen, Luc Florack,...
JMM2
2007
221views more  JMM2 2007»
14 years 9 months ago
Automatic Extraction of Femur Contours from Calibrated X-Ray Images using Statistical Information
— Automatic identification and extraction of bone contours from x-ray images is an essential first step task for further medical image analysis. In this paper we propose a 3D s...
Xiao Dong, Miguel Ángel González Bal...
ESANN
2007
14 years 11 months ago
Toward a robust 2D spatio-temporal self-organization
Abstract. Several models have been proposed for spatio-temporal selforganization, among which the TOM model by Wiemer [1] is particularly promising. In this paper, we propose to ad...
Thomas Girod, Laurent Bougrain, Frédé...
UAI
2004
14 years 10 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,...
IJCV
2007
146views more  IJCV 2007»
14 years 9 months ago
Image-Based Modeling by Joint Segmentation
The paper first traces the image-based modeling back to feature tracking and factorization that have been developed in the group led by Kanade since the eighties. Both feature tra...
Long Quan, Jingdong Wang, Ping Tan, Lu Yuan