Feature fusion for facial landmark detection
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- 作者：Panagiotis Perakisa ; b ; p.perakis@di.uoa.gr" class="auth_mailAuthor Vitae ; Theoharis Theoharisb ; a ; theotheo@di.uoa.gr" class="auth_mailAuthor Vitae ; Ioannis A. Kakadiarisc ; ikakadia@central.uh.edu" class="auth_mailAuthor Vitae
- 关键词：Facial landmarks ; Feature extraction ; Feature fusion ; Landmark detection
- 刊名：Pattern Recognition
- 出版年：September 2014
- 年：2014
- 卷：47
- 期：9
- 页码：2783-2793
- 全文大小：4071 K
文摘
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Novel generalized framework for combining facial landmark descriptors.
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The combination of landmark descriptors is an under-studied issue.
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Several feature fusion schemes for landmark detection are proposed and evaluated.
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The proposed approach offers dimensionality reduction and is easily extendable.
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The proposed approach can combine features extracted from 3D and 2D facial data.