Recognizing Occluded 3D Faces Using an Efficient ICP Variant
文献类型：会议论文
| 作者 | Peijiang Liu; Yunhong Wang; Di Huang; Zhaoxiang Zhang
|
| 出版日期 | 2012-07-09 |
| 会议日期 | 9-13 July 2012 |
| 会议地点 | Melbourne, Australia |
| 关键词 | Occlusion 3d Face Recognition Surface Registration Shape Representation Iterative Closest Point |
| 英文摘要 | This paper proposes an efficient variant of the Iterative Closest Point (ICP) algorithm for 3D face recognition in the presence of occlusion. The new ICP variant improves the original one in two aspects: the computational efficiency and the robustness to occlusion changes. For the former one, a facial surface is firstly described as a Spherical Depth Map (SDM), based on which uniform down-sampling can be conveniently applied to remove redundant vertices, aiming to decrease the consumed time of ICP. For the latter one, since occlusions can be considered as face outliers, a rejection strategy is embedded into ICP to eliminate their impacts. The proposed method is validated in face verification and identification scenarios on the Bosphorus database, and the experimental results clearly demonstrate its effectiveness and efficiency. |
| 会议录 | ICME 2012
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13269]  |
| 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,Di Huang,et al. Recognizing Occluded 3D Faces Using an Efficient ICP Variant[C]. 见:. Melbourne, Australia. 9-13 July 2012. |
入库方式： OAI收割
来源：自动化研究所
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