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» Synergism in Low Level Vision
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ICCV
1999
IEEE
15 years 11 months ago
Unsupervised Image Classification with a Hierarchical EM Algorithm
This work takes place in the context of hierarchical stochastic models for the resolution of discrete inverse problems from low level vision. Some of these models lie on the nodes...
Annabelle Chardin, Patrick Pérez
ICPR
2004
IEEE
15 years 11 months ago
Dining Activity Analysis Using a Hidden Markov Model
We describe an algorithm for dining activity analysis in a nursing home. Based on several features, including motion vectors and distance between moving regions in the subspace of...
Alexander G. Hauptmann, Ashok Bharucha, Howard D. ...
CVPR
2006
IEEE
15 years 11 months ago
Scale Variant Image Pyramids
Multi-scale representations are motivated by the scale invariant properties of natural images. While many low level statistical measures, such as the local mean and variance of in...
Joshua Gluckman
ICPR
2008
IEEE
15 years 11 months ago
Using covariance matrices for unsupervised texture segmentation
In this paper we propose an efficient unsupervised texture segmentation method. We introduce the extension of a state-of-the-art segmentation algorithm, which is exclusively based...
Horst Bischof, Michael Donoser
ICCV
2007
IEEE
14 years 10 months ago
Efficient Silhouette Extraction with Dynamic Viewpoint
A novel approach is proposed that extends the classical background subtraction method to extract silhouettes from videos in real time with dynamic viewpoint variation caused by ca...
Yueting Zhuang, Cheng Chen