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ISBI
2004
IEEE
14 years 11 months ago
Robust Unsupervised Tissue Classification in MR Images
A general framework for performing robust, unsupervised tissue classification in magnetic resonance images is presented. Tissue classification is formulated as an estimation probl...
Dzung L. Pham, Jerry L. Prince
MICCAI
2010
Springer
13 years 8 months ago
Non-parametric Iterative Model Constraint Graph min-cut for Automatic Kidney Segmentation
We present a new non-parametric model constraint graph min-cut algorithm for automatic kidney segmentation in CT images. The segmentation is formulated as a maximum a-posteriori es...
Moti Freiman, A. Kronman, S. J. Esses, Leo Joskowi...
CVPR
2007
IEEE
15 years 12 days ago
A Unified Probabilistic Framework for Facial Activity Modeling and Understanding
Facial activities are the most natural and powerful means of human communication. Spontaneous facial activity is characterized by rigid head movements, non-rigid facial muscular m...
Yan Tong, Wenhui Liao, Zheng Xue, Qiang Ji
DPHOTO
2009
189views Hardware» more  DPHOTO 2009»
13 years 8 months ago
Automatic background generation from a sequence of images based on robust mode estimation
In this paper, we present a novel method for generating a background model from a sequence of images with moving objects. Our approach is based on non-parametric statistics and ro...
Desire Sidibé, Olivier Strauss, William Pue...
NIPS
1998
13 years 11 months ago
Probabilistic Image Sensor Fusion
We present a probabilistic method for fusion of images produced by multiple sensors. The approach is based on an image formation model in which the sensor images are noisy, locall...
Ravi K. Sharma, Todd K. Leen, Misha Pavel