Unsupervised Face Alignment by Robust Nonrigid Mapping
We propose a novel approach to unsupervised facial image alignment. Differently from previous approaches, that are confined to affine transformations on either the entire face or separate patches, we extract a nonrigid mapping between facial images. Based on a regularized face model, we frame unsupe...
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Main Authors: | , , |
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Format: | text |
Language: | English |
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Institutional Knowledge at Singapore Management University
2009
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Online Access: | https://ink.library.smu.edu.sg/sis_research/2371 https://ink.library.smu.edu.sg/context/sis_research/article/3371/viewcontent/zhu_iccv09.pdf |
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Institution: | Singapore Management University |
Language: | English |
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