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ECCV
2002
Springer
16 years 8 months ago
Parsing Images into Region and Curve Processes
Abstract. Natural scenes consist of a wide variety of stochastic patterns. While many patterns are represented well by statistical models in two dimensional regions as most image s...
Zhuowen Tu, Song Chun Zhu
ICIAR
2007
Springer
16 years 26 days ago
Model-Guided Luminance Range Enhancement in Mixed Reality
Abstract. Mixed Reality (MR) applications tend to focus on the accuracy of registration between the virtual and real objects of a scene, while paying relatively little attention to...
Yunjun Zhang, Charles E. Hughes
CGI
2001
IEEE
15 years 10 months ago
Modeling and Rendering of Various Natural Phenomena Consisting of Particles
The simulation of various natural phenomena is one of the important research fields in computer graphics. In particular, aspects such as sky, clouds, water, fire, trees, smoke, te...
Tomoyuki Nishita, Yoshinori Dobashi
ICCV
2007
IEEE
16 years 8 months ago
Non-Parametric Probabilistic Image Segmentation
We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
ECCV
2006
Springer
16 years 8 months ago
Smooth Image Segmentation by Nonparametric Bayesian Inference
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
Peter Orbanz, Joachim M. Buhmann