Real-time 3D face modeling based on 3D face imaging.
文献类型：期刊论文
| 作者 | Zhan, Shu; Chang, Lele; Zhao, Jingjing; Kurihara, Toru; Du, Hao; Tang, Yucheng; Cheng, Jun |
| 刊名 | NEUROCOMPUTING
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | Traditional Iterative Closest Point (ICP) can not properly process the noise, outliers and missing data in face imaging, which would result in low accuracy of face image, face image registration error and much more noise in face image, to solve the above problems, an enhanced sparse ICP to register the 3D point clouds in face imaging is proposed. Sparse Iterative Closest Point (SICP) addressed these problems by formulating the registration optimization, which used sparsity inducing norms, moreover, a fast segmentation algorithm for head area segmentation in depth image was proposed. Based on the proposed fast segmentation algorithm and sparse ICP, a new real time 3D face modeling system was set up, which could generate real time 3D face models with high quality by using a depth camera (such as Kinect) even the background of face imaging was complicated. (C) 2017 Elsevier B.V. All rights reserved. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/11642]  |
| 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 | Zhan, Shu,Chang, Lele,Zhao, Jingjing,et al. Real-time 3D face modeling based on 3D face imaging.[J]. NEUROCOMPUTING,2017. |
| APA | Zhan, Shu.,Chang, Lele.,Zhao, Jingjing.,Kurihara, Toru.,Du, Hao.,...&Cheng, Jun.(2017).Real-time 3D face modeling based on 3D face imaging..NEUROCOMPUTING. |
| MLA | Zhan, Shu,et al."Real-time 3D face modeling based on 3D face imaging.".NEUROCOMPUTING (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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