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» A probabilistic framework for image segmentation
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IJCV
2006
161views more  IJCV 2006»
13 years 7 months ago
Discriminative Random Fields
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
Sanjiv Kumar, Martial Hebert
CVPR
2007
IEEE
14 years 10 months ago
Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
Recent results on stereo indicate that an accurate segmentation is crucial for obtaining faithful depth maps. Variational methods have successfully been applied to both image segm...
Thomas Pock, Christopher Zach, Horst Bischof
CORR
2008
Springer
147views Education» more  CORR 2008»
13 years 8 months ago
Automatic Contour Extraction from 2D Neuron Images
This work describes a novel methodology for automatic contour extraction from 2D images of 3D neurons (e.g. camera lucida images and other types of 2D microscopy). Most contour-ba...
Jorge J. G. Leandro, Roberto M. Cesar, Luciano da ...
SIBGRAPI
2006
IEEE
14 years 1 months ago
Non-Extensive Entropy for CAD Systems of Breast Cancer Images
Recent statistics show that breast cancer is a major cause of death among women in all of the world. Hence, early diagnostic with Computer Aided Diagnosis (CAD) systems is a very ...
Paulo S. Rodrigues, Ruey-Feng Chang, Jasjit S. Sur...
ECCV
2008
Springer
13 years 9 months ago
Active Image Labeling and Its Application to Facial Action Labeling
For many tasks in computer vision, it is very important to produce the groundtruth data. At present, this is mostly done manually. Manual data labeling is labor-intensive and prone...
Lei Zhang, Yan Tong, Qiang Ji