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» A probabilistic framework for image segmentation
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FGR
1996
IEEE
119views Biometrics» more  FGR 1996»
13 years 12 months ago
A probabilistic framework for perceptual grouping of features for human face detection
Present approaches to human face detection have made several assumptions that restrict their ability to be extended to general imaging conditions. We identify that the key factori...
Kin Choong Yow, Roberto Cipolla
ICIP
2004
IEEE
14 years 9 months ago
A probabilistic framework for object recognition in video
We propose a solution to the problem of object recognition given a continuous video sequence containing multiple views of an object. Initially, object models are acquired from ima...
Omar Javed, Mubarak Shah, Dorin Comaniciu
MICCAI
2010
Springer
13 years 5 months ago
Fast Random Walker with Priors Using Precomputation for Interactive Medical Image Segmentation
Abstract. Updating segmentation results in real-time based on repeated user input is a reliable way to guarantee accuracy, paramount in medical imaging applications, while making e...
Shawn Andrews, Ghassan Hamarneh, Ahmed Saad
ICPR
2000
IEEE
14 years 9 months ago
A Parallel Algorithm for Tracking of Segments in Noisy Edge Images
We present a parallel implementation of a probabilistic algorithm for real time tracking of segments in noisy edge images. Given an initial solution ?a set of segments that reason...
Pedro E. López-de-Teruel, Alberto Ruiz, Jos...
PAMI
2010
174views more  PAMI 2010»
13 years 6 months ago
Image Segmentation with a Unified Graphical Model
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
Lei Zhang 0011, Qiang Ji