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» Modeling Image Textures by Gibbs Random Fields
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ICCV
2003
IEEE
16 years 2 months ago
Learning a Classification Model for Segmentation
We propose a two-class classification model for grouping. Human segmented natural images are used as positive examples. Negative examples of grouping are constructed by randomly m...
Xiaofeng Ren, Jitendra Malik
112
Voted
RIAO
2000
15 years 2 months ago
Statistical motion-based video indexing and retrieval
We propose an original approach for the characterization of video dynamic content with a view to supplying new functionalities for motion-based video indexing and retrieval with q...
Ronan Fablet, Patrick Bouthemy, P. Perez
105
Voted
CG
2005
Springer
15 years 16 days ago
Realistic synthesis of cao shu of Chinese calligraphy
In Chinese calligraphy cao shu is regarded as a kind of free form art which differs from other styles greatly in its less constrained strokes and brush textures. In this paper we ...
Jinhui Yu, Qunsheng Peng
ICRA
2009
IEEE
231views Robotics» more  ICRA 2009»
15 years 7 months ago
Accurate 3D ground plane estimation from a single image
— Accurate localization of landmarks in the vicinity of a robot is a first step towards solving the SLAM problem. In this work, we propose algorithms to accurately estimate the ...
Anoop Cherian, Vassilios Morellas, Nikolaos Papani...
107
Voted
CVPR
2007
IEEE
16 years 2 months ago
Multi-label image segmentation via max-sum solver
We formulate single-image multi-label segmentation into regions coherent in texture and color as a MAX-SUM problem for which efficient linear programming based solvers have recent...
Branislav Micusík, Tomás Pajdla