Shape Augmented Regression for 3D Face Alignment | |
Gou, Chao4,6; Wu, Yue5; Wang FY(王飞跃)4,6; Ji, Qiang5 | |
2016-10 | |
会议名称 | ECCV 2016 Workshops |
会议录名称 | ECCV 2016 Workshops |
会议日期 | 2016.10 |
会议地点 | Amsterdam, Netherlands |
摘要 |
2D face alignment has been an active topic and is becoming mature for real applications. However, when large head pose exists, 2D annotated points lose geometric correspondence with respect to actual 3D location. In addition, local appearance varies more dramatically when subjects are with large pose or under various illuminations. 3D face alignment from 2D images is a promising solution to tackle this problem. 3D face alignment aims to estimate the 3D face shape which is consistent across all poses. In this paper, we propose a novel 3D face alignment method. This method consists of two steps. First, we perform 2D landmark detection based on the shape augmented regression. Second, we estimate the 3D shape using the detected 2D landmarks and 3D deformable model. Experimental results on benchmark database demonstrate its preferable performances. |
关键词 | Shape Augmented Regression 3d Face Alignment |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/14486 |
专题 | 复杂系统管理与控制国家重点实验室_平行智能技术与系统团队 |
通讯作者 | Gou, Chao |
作者单位 | 1.中国科学院自动化研究所 2.Rensselaer Polytechnic Institute 3.Qingdao Academy of Intelligent Industries 4.中国科学院自动化研究所 5.Rensselaer Polytechnic Institute 6.Qingdao Academy of Intelligent Industries |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Gou, Chao,Wu, Yue,Wang FY,et al. Shape Augmented Regression for 3D Face Alignment[C],2016. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
gouc_ECCVW_2016_shap(5239KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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