DocumentCode
1898804
Title
A Method of Feature Matching Based on Multi-Pose Face
Author
Xia, Yingjie ; Han, Yanbin ; Li, Jinping ; Chen, Rui
Author_Institution
Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan, China
fYear
2010
fDate
25-26 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
In this paper, SIFT algorithm is combined with AdaBoost algorithm, and a method of feature matching based on multi-pose face is put forward. Firstly, the face region is extracted from multi-pose face images by AdaBoost. Secondly, SIFT characteristic vectors of the main regions are matched. The images of the ORL face DB are used in this paper, and some pictures taken in the experiment are used too. The matching results are acceptable and reasonable. It can be used to research face recognition based on multi-pose face.
Keywords
face recognition; feature extraction; image matching; learning (artificial intelligence); pose estimation; transforms; AdaBoost algorithm; ORL face DB; SIFT algorithm; face recognition; feature matching; multipose face; Classification algorithms; Face; Face detection; Face recognition; Feature extraction; Pixel; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location
Wuhan
ISSN
2156-7379
Print_ISBN
978-1-4244-7939-9
Electronic_ISBN
2156-7379
Type
conf
DOI
10.1109/ICIECS.2010.5678246
Filename
5678246
Link To Document