Monocular face reconstruction with global and local shape constraints
Zhang Jian; Tao Dapeng; Bian Xiangjuan; Zhan Xiaosi
刊名NEUROCOMPUTING
2015
英文摘要To reconstruct 3D face from single monocular image, this paper proposes an approach which comprises three steps. First, a set of 3D facial features is recovered from 2D features extracted from the image. The features are recovered by solving equations derived from a regularized scaled orthogonal projection. The regularization is achieved by a global shape constraint exploiting a prior reference 3D facial shape. Second, we warp a high-resolution reference 3D face, using both recovered 3D features and local shape constraint at each model points. Last, realistic 3D face is obtained through texture synthesis. Compared with existing approach, the proposed feature recovery method has higher accuracy, and it is robust to facial pose variation appeared on the given image. Moreover, the model warping method based on local shape constraints can warp a high-resolution reference 3D face using few 3D features more reasonably and accurately. The proposed approach generates realistic 3D face with impressive visual effect. (C) 2014 Elsevier B.V. All rights reserved.
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S0925231214010674
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/6684]  
专题深圳先进技术研究院_集成所
作者单位NEUROCOMPUTING
推荐引用方式
GB/T 7714
Zhang Jian,Tao Dapeng,Bian Xiangjuan,et al. Monocular face reconstruction with global and local shape constraints[J]. NEUROCOMPUTING,2015.
APA Zhang Jian,Tao Dapeng,Bian Xiangjuan,&Zhan Xiaosi.(2015).Monocular face reconstruction with global and local shape constraints.NEUROCOMPUTING.
MLA Zhang Jian,et al."Monocular face reconstruction with global and local shape constraints".NEUROCOMPUTING (2015).
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