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SSIAI
2000
IEEE
15 years 11 months ago
A New Bayesian Relaxation Framework for the Estimation and Segmentation of Multiple Motions
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
Alexander Strehl, Jake K. Aggarwal
ICCV
2001
IEEE
16 years 8 months ago
Image Segmentation by Data Driven Markov Chain Monte Carlo
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum
EUROGRAPHICS
2010
Eurographics
16 years 2 months ago
TouchTone: Interactive Local Image Adjustment Using Point-and-Swipe
Recent proliferation of camera phones, photo sharing and social network services has significantly changed how we process our photos. Instead of going through the traditional dow...
Chia-Kai Liang, Wei-Chao Chen, Natasha Gelfand
TMI
2008
101views more  TMI 2008»
15 years 6 months ago
Robust Linearized Image Reconstruction for Multifrequency EIT of the Breast
Abstract--Electrical impedance tomography (EIT) is a developing imaging modality that is beginning to show promise for detecting and characterizing tumors in the breast. At Renssel...
Gregory Boverman, Tzu-Jen Kao, Rujuta Kulkarni, Bo...
TMI
2008
171views more  TMI 2008»
15 years 6 months ago
Fluid Registration of Diffusion Tensor Images Using Information Theory
We apply an information-theoretic cost metric, the symmetrized Kullback-Leibler (sKL) divergence, or -divergence, to fluid registration of diffusion tensor images. The difference b...
Ming-Chang Chiang, Alex D. Leow, Andrea D. Klunder...
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