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» Image Segmentation with a Unified Graphical Model
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ICIP
2005
IEEE
14 years 8 months ago
An automatic segmentation of color images by using a combination of mixture modelling and adaptive region information: a level s
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
Mohand Saïd Allili, Djemel Ziou
CVPR
2008
IEEE
14 years 8 months ago
The Logistic Random Field - A convenient graphical model for learning parameters for MRF-based labeling
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
Marshall F. Tappen, Kegan G. G. Samuel, Craig V. D...
CVPR
2004
IEEE
14 years 8 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
SIGGRAPH
1998
ACM
13 years 10 months ago
The Office of the Future: A Unified Approach to Image-based Modeling and Spatially Immersive Displays
We introduce ideas, proposed technologies, and initial results for an office of the future that is based on a unified application of computer vision and computer graphics in a sys...
Ramesh Raskar, Greg Welch, Matt Cutts, Adam Lake, ...
ECCV
2008
Springer
14 years 8 months ago
Unified Crowd Segmentation
Abstract. This paper presents a unified approach to crowd segmentation. A global solution is generated using an Expectation Maximization framework. Initially, a head and shoulder d...
Gianfranco Doretto, Jens Rittscher, Nils Krahnstoe...