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Journal article

Simultaneous estimation of segmentation and shape

Abstract:

The main focus of this work is the integration of feature grouping and model based segmentation into one consistent framework. The algorithm is based on partitioning a given set of image features using a likelihood function that is parameterized on the shape and location of potential individuals in the scene, using a variant of the EM formulation, maximum likelihood estimates of both the model parameters and the grouping are obtained simultaneously. The resulting algorithm performs global opt...

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Publisher copy:
10.1109/CVPR.2005.323

Authors


Journal:
Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume:
2
Pages:
486-493
Publication date:
2005-01-01
DOI:
ISSN:
1063-6919
URN:
uuid:00049faf-077c-4775-9175-38abb49e99b3
Source identifiers:
439070
Local pid:
pubs:439070
Language:
English

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