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
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;
Conference_Titel :
Information Engineering and Computer Science (ICIECS), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7939-9
Electronic_ISBN :
2156-7379
DOI :
10.1109/ICIECS.2010.5678246
