CASIA OpenIR  > 模式识别国家重点实验室  > 机器人视觉
Shape Initialization Without Ground Truth For Face Alignment
Qin, Rizhen; Zhang, Ting
2016-03
Conference Name2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Source Publication2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Conference Date20-25 March 2016
Conference PlaceShanghai, China
Abstract      The shape initialization is a crucial step for face alignment. In the literature, many approaches use the ground truth points to compute the bounding box. However, it is not always possible to detect an accurate bounding box in real applications due to various adverse factors. In this work, an effective initialization approach for face alignment is proposed. Firstly a modified Deformable Part Models (DPM) is used to estimate the face pose and the bounding box to obtain an initial shape. Then by detecting the two pupils, the roll rotation of the face is measured to correct the initial shape. To further increase the robustness and accuracy of face alignment, multiple initial shapes for each face are generated, then each one is refined by a cascade regression-based approach and we can get multiple shape estimations. Finally a better final shape is obtained by fusing the multiple estimations via the structured SVM learning. Experiments on challenging datasets and comparison with the state-of-the-art methods validate our proposed method in unconstrained environment.
KeywordShape Initialization Face Alignment Dpm Multiple Initial Shapes Structured Svm
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/11493
Collection模式识别国家重点实验室_机器人视觉
Corresponding AuthorQin, Rizhen
AffiliationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Qin, Rizhen,Zhang, Ting. Shape Initialization Without Ground Truth For Face Alignment[C],2016.
Files in This Item: Download All
File Name/Size DocType Version Access License
SHAPE INITIALIZATION(889KB)会议论文 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Qin, Rizhen]'s Articles
[Zhang, Ting]'s Articles
Baidu academic
Similar articles in Baidu academic
[Qin, Rizhen]'s Articles
[Zhang, Ting]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Qin, Rizhen]'s Articles
[Zhang, Ting]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: SHAPE INITIALIZATION WITHOUT GROUND TRUTH FOR FACE ALIGNMENT.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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