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Level Set Prior Shape Model in Face Recognition
Abstract:
Combining level set image segmentation with the prior shape information, we proposed an improved prior shape model in face recognition. Firstly, we introduced a local tensile invariant to X and Y direction and a shear invariant based on the shape statistics. Then, shape energy term with rotation, scale, shear and translation invariance was reconstructed in level set C-V model. The new model considers global and local image change and makes face contour evolving stably. Experimental results demonstrate that our model can segment obscured face images effectively.
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3901-3904
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Online since:
November 2014
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© 2014 Trans Tech Publications Ltd. All Rights Reserved
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