Computer Vision Pattern Recognition

Biometric Recognition: 9th Chinese Conference, CCBR 2014, by Zhenan Sun, Shiguang Shan, Haifeng Sang, Jie Zhou, Yunhong

By Zhenan Sun, Shiguang Shan, Haifeng Sang, Jie Zhou, Yunhong Wang, Weiqi Yuan

This publication constitutes the refereed complaints of the ninth chinese language convention on Biometric acceptance, CCBR 2014, held in Shenyang, China, in November 2014. The 60 revised complete papers provided have been conscientiously reviewed and chosen from between ninety submissions. The papers specialise in face, fingerprint and palmprint, vein biometrics, iris and ocular biometrics, behavioral biometrics, software and procedure of biometrics, multi-biometrics and knowledge fusion, different biometric acceptance and processing.

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Extra info for Biometric Recognition: 9th Chinese Conference, CCBR 2014, Shenyang, China, November 7-9, 2014. Proceedings

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An evaluation of multimodal 2d + 3d face biometrics. TPAMI 27(4), 619–624 (2005) 28. : Strategies and benefits of fusion of 2d and 3d face recognition. In: CVPRW (2005) 29. : Representation plurality and fusion for 3-D face recognition. TSMCB 38(1), 155–173 (2008) 30. : Comparison of 2d/3d features and their adaptive score level fusion for 3d face recognition. In: 3DPVT (2010) 31. : Learning to fuse 3D+2D based face recognition at both feature and decision levels. , Tang, X. ) AMFG 2005. LNCS, vol.

3D dynamic expression recognition based on a novel deformation vector field and random forest. In: ICPR (2012) 110. : Gender and 3d facial symmetry: what’s the relationship? In: FG (2013) 111. : Static and dynamic 3d facial expression recognition: a comprehensive survey. IVC 30(10), 683–697 (2012) 112. : The photoface database. In: CVPRW (2011) 113. : Automatic 3d facial expression recognition based on a bayesian belief net and a statistical facial feature model. In: ICPR (2010) 114. : 3D facial expression recognition based on histograms of surface differential quantities.

In: ICPR (2004) 65. : Geometry images. In: SIGGRAPH (2002) 66. : Expression invariant 3d face recognition with a morphable model. In: FG (2008) 67. : Face recognition based on fitting a 3d morphable model. TPAMI 25(9), 1063–1074 (2003) 68. : Bilinear models for 3-d face and facial expression recognition. TIFS 3(3), 498–511 (2008) 69. : Separating style and content with bilinear models. Neural Computation 12(6), 1247–1283 (2000) 70. : An expression deformation approach to non-rigid 3d face recognition.

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