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Face Recognition based on SURF Interest Point Extraction Algorithm  

Kang, Min-Ku (Dept. of Computer Engineering, Sejong University)
Choo, Won-Kook (Dept. of Computer Engineering, Sejong University)
Moon, Seung-Bin (Dept. of Computer Engineering, Sejong University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea CI / v.48, no.3, 2011 , pp. 46-53 More about this Journal
Abstract
This paper proposes a SURF (Speeded Up Robust Features) based face recognition method which is one of typical interest point extraction algorithms. In general, SURF based object recognition is performed in interest point extraction and matching. In this paper, although, proposed method is employed not only in interest point extraction and matching, but also in face image rotation and interest point verification. image rotation is performed to increase the number of interest points and interest point verification is performed to find interest points which were matched correctly. Although proposed SURF based face recognition method requires more computation time than PCA based one, it shows better recognition rate than PCA algorithm. Through this experimental result, I confirmed that interest point extraction algorithm also can be adopted in face recognition.
Keywords
face recognition; SURF; face image rotation; interest point extraction; matching; verification;
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