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» A New Bayesian Method for Range Image Segmentation
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CVPR
1997
IEEE
13 years 12 months ago
Automatic line matching across views
This paper presents a new method for matching individual line segments between images. The method uses both greylevel information and the multiple view geometric relations between...
Cordelia Schmid, Andrew Zisserman
ICML
2005
IEEE
14 years 8 months ago
Variational Bayesian image modelling
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
Li Cheng, Feng Jiao, Dale Schuurmans, Shaojun Wang
CVPR
2000
IEEE
14 years 9 months ago
3-D Model Construction Using Range and Image Data
This paper deals with the automated creation of geometric and photometric correct 3-D models of the world. Those models can be used for virtual reality, tele? presence, digital ci...
Ioannis Stamos, Peter K. Allen
MICCAI
2005
Springer
14 years 8 months ago
Cross Entropy: A New Solver for Markov Random Field Modeling and Applications to Medical Image Segmentation
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
Jue Wu, Albert C. S. Chung
ESANN
2006
13 years 9 months ago
Hierarchical markovian models for joint classification, segmentation and data reduction of hyperspectral images
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...