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» A probabilistic framework for image segmentation
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CVPR
2010
IEEE
14 years 3 months ago
A Diffusion Approach to Seeded Image Segmentation
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
Juyong Zhang, Jianmin Zheng, Jianfei Cai
ICPR
2006
IEEE
14 years 9 months ago
Continuous Gesture Recognition using a Sparse Bayesian Classifier
An approach to recognise and segment 9 elementary gestures from a video input is proposed and it can be applied to continuous sign recognition. An isolated gesture is recognised b...
Shu-Fai Wong, Roberto Cipolla
ICASSP
2011
IEEE
12 years 11 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
ICPR
2006
IEEE
14 years 9 months ago
An LBP-Based Active Contour Algorithm for Unsupervised Texture Segmentation
This paper presents a novel algorithm for unsupervised texture segmentation. The proposed algorithm incorporates the Local Binary Pattern operator under a segmentation framework b...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Mic...
CVPR
2008
IEEE
14 years 9 months ago
A Bayesian approach for image segmentation with shape priors
Color and texture have been widely used in image segmentation; however, their performance is often hindered by scene ambiguities, overlapping objects, or missing parts. In this pa...
Hang Chang, Qing Yang, Bahram Parvin