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» Optimal Segmentation of Random Sequences
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3DOR
2008
15 years 2 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
124
Voted
CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
15 years 4 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Zoltan Kato, Ting-Chuen Pong
102
Voted
ACCV
2009
Springer
15 years 3 months ago
People Tracking and Segmentation Using Efficient Shape Sequences Matching
Abstract. We design an effective shape prior embedded human silhouettes extraction algorithm. Human silhouette extraction is found challenging because of articulated structures, po...
Junqiu Wang, Yasushi Yagi, Yasushi Makihara
ICIP
1997
IEEE
16 years 1 months ago
An Optimization Approach to Unsupervised Hierarchical Texture Segmentation
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
ICCV
2009
IEEE
14 years 9 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios