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: ZHU, Jianke, VAN GOOL, Luc, HOI, Steven C. H.
格式: text
語言:English
出版: Institutional Knowledge at Singapore Management University 2009
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在線閱讀: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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機構: Singapore Management University
語言: English

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