CASIA OpenIR  > 智能感知与计算研究中心
Fast Multi-view Face Alignment via Multi-task Auto-encoders
Qi Li; Zhenan Sun; Ran He(赫然)
2017-10
Conference NameInternational Joint Conference on Biometrics (IJCB)
Conference Date2017-10
Conference PlaceDenver, America
AbstractFace alignment is an important problem in computer vision. It is still an open  problem due to the variations of facial attributes (~\eg, head pose, facial expression, illumination variation). Many studies have shown that face alignment and facial attribute analysis are often correlated. This paper develops a two-stage multi-task Auto-encoders framework for fast face alignment by incorporating head pose information to handle large view variations. In the first and second stages, multi-task Auto-encoders are used to roughly locate and further refine facial landmark locations with related pose information, respectively. Besides, the shape constraint is naturally encoded into our two-stage face alignment framework to preserve facial structures. A coarse-to-fine strategy is adopted to refine the facial landmark results with the shape constraint. Furthermore, the computational cost of our method is much lower than its deep learning competitors. Experimental results on various challenging datasets show the effectiveness of the proposed method.
Indexed ByEI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19691
Collection智能感知与计算研究中心
AffiliationCenter for Research on Intelligent Perception and Computing, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China
First Author AffilicationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Qi Li,Zhenan Sun,Ran He. Fast Multi-view Face Alignment via Multi-task Auto-encoders[C],2017.
Files in This Item:
File Name/Size DocType Version Access License
0172.pdf(302KB)会议论文 开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Qi Li]'s Articles
[Zhenan Sun]'s Articles
[Ran He(赫然)]'s Articles
Baidu academic
Similar articles in Baidu academic
[Qi Li]'s Articles
[Zhenan Sun]'s Articles
[Ran He(赫然)]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Qi Li]'s Articles
[Zhenan Sun]'s Articles
[Ran He(赫然)]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 0172.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.