Representing 3D face from point cloud to face-aligned spherical depth map
文献类型：期刊论文
| 作者 | Peijiang Liu; Yunhong Wang; Zhaoxiang Zhang
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| 刊名 | International Journal of Pattern Recognition and Artificial Intelligence
 |
| 出版日期 | 2012-06-18 |
| 卷号 | 26期号:1页码:1-17 |
| 关键词 | Shape Representation Spherical Depth Map Face Alignment Pose Normalization Face Recognition |
| 英文摘要 | We propose a novel representation of 3D face shape which is a key step for feature extraction and face recognition. The input of the proposed methods is unstructured point cloud, which determines the wide applicability of the proposed representation. Our contributions mainly include two parts: Spherical Depth Map (SDM) and face alignment based on SDM. SDM, which can be adopted to many applications, is a special kind of range image utilizing the prior anatomical knowledge of human face. Useful characteristics of SDM facilitate face alignment with higher efficiency and accuracy. Experiments conducted on three popular 3D face databases verify the high efficacy and superiority of the proposed method. The accuracy of face alignment is up to 100% with our strategy. The face verification rates based on the standard protocols are all higher than the baseline performance of FRGC2.0. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13224]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Peijiang Liu,Yunhong Wang,Zhaoxiang Zhang. Representing 3D face from point cloud to face-aligned spherical depth map[J]. International Journal of Pattern Recognition and Artificial Intelligence,2012,26(1):1-17. |
| APA | Peijiang Liu,Yunhong Wang,&Zhaoxiang Zhang.(2012).Representing 3D face from point cloud to face-aligned spherical depth map.International Journal of Pattern Recognition and Artificial Intelligence,26(1),1-17. |
| MLA | Peijiang Liu,et al."Representing 3D face from point cloud to face-aligned spherical depth map".International Journal of Pattern Recognition and Artificial Intelligence 26.1(2012):1-17. |
入库方式： OAI收割
来源：自动化研究所
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