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CAIP
2001
Springer
293views Image Analysis» more  CAIP 2001»
14 years 4 days 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
CORR
2008
Springer
129views Education» more  CORR 2008»
13 years 7 months ago
Hierarchical Bayesian sparse image reconstruction with application to MRFM
This paper presents a hierarchical Bayesian model to reconstruct sparse images when the observations are obtained from linear transformations and corrupted by an additive white Gau...
Nicolas Dobigeon, Alfred O. Hero, Jean-Yves Tourne...
NIPS
2004
13 years 9 months ago
Implicit Wiener Series for Higher-Order Image Analysis
The computation of classical higher-order statistics such as higher-order moments or spectra is difficult for images due to the huge number of terms to be estimated and interprete...
Matthias O. Franz, Bernhard Schölkopf
ICASSP
2007
IEEE
14 years 2 months ago
Block Size Forensic Analysis in Digital Images
In non-intrusive forensic analysis, we wish to find information and properties about a piece of data without any reference to the original data prior to processing. An important ...
Steven Tjoa, Wan-Yi Sabrina Lin, H. Vicky Zhao, K....
ISMAR
2003
IEEE
14 years 28 days ago
3D Reconstruction of Stereo Images for Interaction between Real and Virtual Worlds
Mixed reality is different from the virtual reality in that users can feel immersed in a space which is composed of not only virtual but also real objects. Thus, it is essential t...
Hansung Kim, Seung-Jun Yang, Kwanghoon Sohn