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MICCAI
2007
Springer
14 years 2 months ago
Robust Autonomous Model Learning from 2D and 3D Data Sets
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
TOG
2010
111views more  TOG 2010»
13 years 2 months ago
Detail-preserving fully-Eulerian interface tracking framework
This paper introduces a fully-Eulerian interface tracking framework that preserves the fine details of liquids. Unlike existing Eulerian methods, the proposed framework shows good...
Nambin Heo, Hyeong-Seok Ko
ICASSP
2008
IEEE
14 years 2 months ago
Action recognition using spatio-temporal regularity based features
In this paper, a novel feature for capturing information in a spatio-temporal volume based on regularity flow is presented for action recognition. The regularity flow describes ...
Taylor Goodhart, Pingkun Yan, Mubarak Shah
EGITALY
2006
13 years 9 months ago
Implementing mesh-based approaches for deformable objects on GPU
These latest years witnessed an impressive improvement of graphics hardware both in terms of features and in terms of computational power. This improvement can be easily observed ...
Guido Ranzuglia, Paolo Cignoni, Fabio Ganovelli, R...
CVPR
1998
IEEE
14 years 10 months ago
Efficient Multiple Model Recognition in Cluttered 3-D Scenes
We present a 3-D shape-based object recognition system for simultaneous recognition of multiple objects in scenes containing clutter and occlusion. Recognition is based on matchin...
Andrew Edie Johnson, Martial Hebert