全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于三维形变模型的多姿态人脸识别

Keywords: 形变模型,部件,几何向量,纹理向量

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对多姿态人脸识别问题,提出了一种三维形变模型和部件技术相结合的人脸识别方法.该方法提取人脸三维部件作为识别特征,在一定程度上克服了人脸姿态变化对识别的影响.在识别过程中结合人脸的局部特征和全局特征,根据单个部件的识别率确定其在整体分类中的权值,基于整脸信息进行识别,进一步改善了识别效果.实验结果证明,该方法在训练库中只有1张正面照片时,对多姿态人脸识别具有很好的识别效果.

References

[1]  GUO Guo-dong,LI S Z,CHAN K L.Support vector machines for face recognition[J].Image and Vision Computing, 2001,19(9/10):631-638.
[2]  BEYMER D J.Face recognition under varying pose[C]//Proceedings of the 1994 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Los Alamitos,CA,USA:IEEE,1994:756-761.
[3]  VECTTER T,POGGIO T.Linear object classes and image synthesis from a single example image[J].IEEE Trans On Pat- ??tern Analysis Machine Intelligence,1997,19(7):733-742.
[4]  MANJUNATH B S,CHELLAPPA R.A feature based approach to face recognition[C]//Proc IEEE Conference on Comput- er Vision and Pattern Recognition.Los Alamitos,CA,USA:IEEE Comput Soc,1999:373-378.
[5]  LEE M W,RANGANATH S.3D deformable face model for pose determination and face synthesis[C]//Proc of the 10th In- ternational Conference on Image Analysis and Processing.Los Alamitos,CA,USA:IEEE Comput Soc,1999:260-265.
[6]  HEISELE B,HO P,POGGIO T.Face recognition with support vector machines:global versus component-based approach [C]//Proc 8 th International Conference on Computer Vision.Los Alamitos,CA,USA:IEEE Comput Soc,2001:688- 694.
[7]  GU Chun-liang,YIN Bao-cai.Resampling based method for pixel-wise correspondence between 3D faces[C]//Proc of the International Conference on Information Technology:Coding and Computing(ITCC'04).Los Alamitos,CA,USA:IEEE Comput Soc,2004:614-619.
[8]  TURK M,PENTLAND A.Eigenfaces for recognition[J].Cognitive Neuroscience,1991,3(1):71-86.
[9]  HALLINAN P.A deformable model for the recognition of human face under arbitrary illumination[D].Cambridge,Mas- sachusetts:Harvard University,1995.
[10]  XIAO J,CHAI J,KANADE J.A closed-form solution to nonrigid shape and motion recovery[C]//Proc the 8th European Conference on Computer Vision(ECCV 200).Netherlands:Kluwer Academic Publishers,2004:233-46.
[11]  BLANZ V,VETTER T.A morphable model for the synthesis of 3D faces[C]//Computer Graphic Proceedings SIG- GRAPH'99.New York,USA:ACM,1999:187-194.
[12]  HU Yong-li,YIN Bao-cai,SUN Yan-feng.Mesh resampling alignment for 3D face morpbable model[C]//2004 Interna- tional Symposium on Intelligent Multimedia,Video & Speech Processing(ISIMP'04).Piscataway,NJ,USA:IEEE, 2004:250-256.
[13]  COOTS T F,TAYLOR C J.Active shape model—their training and application[J].Computer Vision and Image Under- standing,1995,61:18-25.
[14]  GAO Wen,GAO Bo,SHAN Shi-guang.The CAS-PEAL large-scale chinese face database and baseline evaluations[R]. Beijing:JDL,2004.
[15]  HEISELE B,POGGIO T,PONTIL M.Component-based face detection[C]//Proc of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.Los Alamitos,CA,USA:IEEE Comput Soc,2001:657-662.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133