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» Statistical Modeling of Texture Sketch
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DAGM
1998
Springer
13 years 12 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
CN
2004
100views more  CN 2004»
13 years 7 months ago
Study of long-duration MPEG-trace segmentation methods for developing frame-size-based traffic models
Texture and temporal variations in scenes, and peculiarities of MPEG compression algorithms result in very complex frame-size data sets for any long-duration variable bit rate (VB...
Uttam K. Sarkar, Subramanian Ramakrishnan, Dilip S...
ICPR
2000
IEEE
14 years 1 days ago
Model-Based Halftoning for Color Image Segmentation
Grouping algorithms based on histograms over measured image features have very successfully been applied to textured image segmentation [2, 11, 6]. However, the competing goals of...
Jan Puzicha, Serge Belongie
CGF
1999
123views more  CGF 1999»
13 years 7 months ago
Computer-Generated Graphite Pencil Rendering of 3D Polygonal Models
Researchers in non-photorealistic rendering have investigated the display of three-dimensional worlds using various display models. In particular, recent work has focused on the m...
Mario Costa Sousa, John W. Buchanan
CVPR
2007
IEEE
14 years 9 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger