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» Modeling Image Textures by Gibbs Random Fields
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103
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VISUALIZATION
1998
IEEE
15 years 4 months ago
A general method for preserving attribute values on simplified meshes
Many sophisticated solutions have been proposed to reduce the geometric complexity of 3D meshes. A less studied problem is how to preserve on a simplified mesh the detail (e.g. co...
Paolo Cignoni, Claudio Montani, Roberto Scopigno, ...
CVPR
2007
IEEE
16 years 2 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
ICPR
2006
IEEE
16 years 1 months ago
A Markovian Approach for Handwritten Document Segmentation
We address in this paper the problem of segmenting complex handritten pages such as novelist drafts or authorial manuscripts. We propose to use stochastic and contextual models in...
Stéphane Nicolas, Thierry Paquet, Laurent H...
96
Voted
ICIP
2008
IEEE
15 years 7 months ago
MAP-MRF approach for binarization of degraded document image
We propose an algorithm for the binarization of document images degraded by uneven light distribution, based on the Markov Random Field modeling with Maximum A Posteriori probabil...
Jung Gap Kuk, Nam Ik Cho, Kyoung Mu Lee
108
Voted
ICASSP
2010
IEEE
14 years 11 months ago
A novel, fast, and complete 3D segmentation of vertebral bones
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs), especially the trabecular bones (TBs). In this paper...
Melih S. Aslan, Asem M. Ali, Ham Rara, Ben Arnold,...