CASIA OpenIR  > 模式识别国家重点实验室  > 生物识别与安全技术研究
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
Source PublicationIEEE Transactions on Pattern Analysis and Machine Intelligence
2017
Issue99Pages:1-1
Abstract
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.
 
KeywordFace Alignment 3d Morphable Model Convolutional Neural Network Cascaded Regression
DOI10.1109/TPAMI.2017.2778152
WOS IDWOS:000452434800007
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19671
Collection模式识别国家重点实验室_生物识别与安全技术研究
Affiliation1.Institute of Automation,Chinese Academy of Sciences
2.Michigan State University
Recommended Citation
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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