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http://dx.doi.org/10.3745/KTSDE.2014.3.9.375

Affine Invariant Local Descriptors for Face Recognition  

Gao, Yongbin (전북대학교 컴퓨터공학부)
Lee, Hyo Jong (전북대학교 컴퓨터공학부)
Publication Information
KIPS Transactions on Software and Data Engineering / v.3, no.9, 2014 , pp. 375-380 More about this Journal
Abstract
Under controlled environment, such as fixed viewpoints or consistent illumination, the performance of face recognition is usually high enough to be acceptable nowadays. Face recognition is, however, a still challenging task in real world. SIFT(Scale Invariant Feature Transformation) algorithm is scale and rotation invariant, which is powerful only in the case of small viewpoint changes. However, it often fails when viewpoint of faces changes in wide range. In this paper, we use Affine SIFT (Scale Invariant Feature Transformation; ASIFT) to detect affine invariant local descriptors for face recognition under wide viewpoint changes. The ASIFT is an extension of SIFT algorithm to solve this weakness. In our scheme, ASIFT is applied only to gallery face, while SIFT algorithm is applied to probe face. ASIFT generates a series of different viewpoints using affine transformation. Therefore, the ASIFT allows viewpoint differences between gallery face and probe face. Experiment results showed our framework achieved higher recognition accuracy than the original SIFT algorithm on FERET database.
Keywords
Face Recognition; Pose Change; SIFT(Scale Invariant Feature Transform); FERET;
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