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» Markov Random Field Models in Computer Vision
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AUTOMATICA
2006
122views more  AUTOMATICA 2006»
15 years 1 months ago
Gibbs sampler-based coordination of autonomous swarms
In this paper a novel, Gibbs sampler-based algorithm is proposed for coordination of autonomous swarms. The swarm is modeled as a Markov random field (MRF) on a graph with a time-...
Wei Xi, Xiaobo Tan, John S. Baras
BMVC
2010
14 years 11 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...
VIS
2004
IEEE
146views Visualization» more  VIS 2004»
16 years 2 months ago
Tracking of Vector Field Singularities in Unstructured 3D Time-Dependent Datasets
In this paper, we present an approach for monitoring the positions of vector field singularities in time-dependent datasets. The concept of singularity index is discussed and exte...
Christoph Garth, Xavier Tricoche, Gerik Scheuerman...
ICIP
2001
IEEE
16 years 3 months ago
A novel hybrid face profile recognition system using the FERET and MUGSHOT databases
Face recognition has established itself as an important subbranch of pattern recognition within the field of computer science. Many state-of-the-art systems have focused on the ta...
Frank Wallhoff, Gerhard Rigoll, Payman Moallem
ICPR
2008
IEEE
16 years 2 months ago
View-invariant full-body gesture recognition from video
In this paper, we propose a video-based full-body gesture recognition system independent of the view angle of the cameras. We performed multilinear analysis on the silhouette imag...
Bo Peng, Gang Qian, Stjepan Rajko