Knowledge Commons of Institute of Automation,CAS
Face Alignment in Full Pose Range: A 3D Total Solution | |
Zhu XY(朱翔昱)1; Xiaoming Liu2; Lei Z(雷震)1; Li ZQ(李子青)1 | |
发表期刊 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
2017 | |
期号 | 99页码:1-1 |
摘要 |
Face alignment, which fits a face model to an image and extracts the semantic meanings of facial pixels, has been an important topic in CV community. However, most algorithms are designed for faces in small to medium poses (yaw angle is smaller than 45 degrees), lacking the ability to align faces in large poses up to 90 degrees. The challenges are three-fold. Firstly, the commonly used landmark face model assumes that all the landmarks are visible and is therefore not suitable for large poses. Secondly, the face appearance varies more drastically across large poses, from the frontal view to the profile view. Thirdly, labelling landmarks in large poses is extremely challenging since the invisible landmarks have to be guessed. In this paper, we propose to tackle these three challenges in an new alignment framework termed 3D Dense Face Alignment (3DDFA), in which a dense 3D Morphable Model (3DMM) is fitted to the image via cascaded convolutional neutral networks. We also utilize 3D information to synthesize face images in profile views to provide abundant samples for training. Experiments on the challenging AFLW database show that the proposed approach achieves significant improvements over the state-of-the-art methods.
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关键词 | Face Alignment 3d Morphable Model Convolutional Neural Network Cascaded Regression |
DOI | 10.1109/TPAMI.2017.2778152 |
WOS记录号 | WOS:000452434800007 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/19671 |
专题 | 多模态人工智能系统全国重点实验室_生物识别与安全技术 |
作者单位 | 1.Institute of Automation,Chinese Academy of Sciences 2.Michigan State University |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhu XY,Xiaoming Liu,Lei Z,et al. Face Alignment in Full Pose Range: A 3D Total Solution[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2017(99):1-1. |
APA | Zhu XY,Xiaoming Liu,Lei Z,&Li ZQ.(2017).Face Alignment in Full Pose Range: A 3D Total Solution.IEEE Transactions on Pattern Analysis and Machine Intelligence(99),1-1. |
MLA | Zhu XY,et al."Face Alignment in Full Pose Range: A 3D Total Solution".IEEE Transactions on Pattern Analysis and Machine Intelligence .99(2017):1-1. |
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