Regularized latent least square regression for cross pose face recognition
Xinyuan Cai; Chunheng Wang; Baihua Xiao; Xue Chen; Ji Zhou; Wang.Chunheng
2013
Conference NameTwenty-Third international joint conference on Artificial Intelligence(IJCAI '13)
Source PublicationInternational Joint Conference on Artificial Intelligence (IJCAI )
Pages1247-1253
Conference Date2013
Conference PlaceBeijing,China
AbstractPose variation is one of the challenging factors for
face recognition. In this paper, we propose a novel
cross-pose face recognition method named as Regularized
Latent Least Square Regression (RLLSR).
The basic assumption is that the images captured
under different poses of one person can be viewed
as pose-specific transforms of a single ideal object.
We treat the observed images as regressor, the ideal
object as response, and then formulate this assumption
in the least square regression framework,
so as to learn the multiple pose-specific transforms.
Specifically, we incorporate some prior knowledge
as two regularization terms into the least square
approach: 1) the smoothness regularization, as the
transforms for nearby poses should not differ too
much; 2) the local consistency constraint, as the
distribution of the latent ideal objects should preserve
the geometric structure of the observed image
space. We develop an alternating algorithm to simultaneously
solve for the ideal objects of the training
individuals and a set of pose-specific transforms.
The experimental results on the Multi-PIE
dataset demonstrate the effectiveness of the proposed
method and superiority over the previous
methods.
KeywordFace Recognition
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/5151
Collection复杂系统管理与控制国家重点实验室_影像分析与机器视觉
Corresponding AuthorWang.Chunheng
Recommended Citation
GB/T 7714
Xinyuan Cai,Chunheng Wang,Baihua Xiao,et al. Regularized latent least square regression for cross pose face recognition[C],2013:1247-1253.
Files in This Item: Download All
File Name/Size DocType Version Access License
201018014628026_002.(653KB)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
[Xinyuan Cai]'s Articles
[Chunheng Wang]'s Articles
[Baihua Xiao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xinyuan Cai]'s Articles
[Chunheng Wang]'s Articles
[Baihua Xiao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xinyuan Cai]'s Articles
[Chunheng Wang]'s Articles
[Baihua Xiao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 201018014628026_002.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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