Technology of Graphic & Image
|
1237-1240

Face alignment based on classified shape searching

Huang Yuqin
Pan Huawei
School of Information Science & Engineering, Hunan University, Changsha 410082, China

Abstract

Aiming at the traditional shape searching which needed to search in the whole shape space each time, this paper proposed a new approach based on classified face shape searching. This approach began with a shape space that contained diverse shapes. First it optimized the random forest classifiers by the feature selection method based on correlation and trained the random forest classifiers by training samples. Then it divided the shape space into several sub-spaces by random forest classifiers, and searched the sub-space that was the most similar to the current shape, and estimated the center of the sub-space and probability distribution. Finally, this paper employed cascaded regression to realize face alignment. The experiment result demonstrates the proposed approach obvious decreases the searching time and has good robustness in unconstrained environment on the 300-W database.

Foundation Support

广东省科技计划资助项目(2013B090600021)
国家科技部资助项目(2014BAK08B01)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.11.0774
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Technology of Graphic & Image
Pages: 1237-1240
Serial Number: 1001-3695(2019)04-062-1237-04

Publish History

[2019-04-05] Printed Article

Cite This Article

黄玉琴, 潘华伟. 基于分类外形搜索的人脸特征点定位 [J]. 计算机应用研究, 2019, 36 (4): 1237-1240. (Huang Yuqin, Pan Huawei. Face alignment based on classified shape searching [J]. Application Research of Computers, 2019, 36 (4): 1237-1240. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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