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학술대회 Real-Time Face Verification for Mobile Platforms
Cited 12 time in scopus Download 0 time Share share facebook twitter linkedin kakaostory
저자
정성욱, 정윤수, 유장희, 문기영
발행일
200812
출처
International Symposium on Visual Computing (ISVC) 2008 (LNCS 5359), v.5359, pp.823-832
DOI
https://dx.doi.org/10.1007/978-3-540-89646-3_81
협약과제
08MS2800, 프라이버시 보호형 바이오인식 시스템 개발, 문기영
초록
We propose a novel method for real-time face verification on mobile platforms such as PDAs and cell-phones. To implement the real-time system, a fixed-point arithmetic is used, and the face components are extracted by using a fast boosting algorithm. In addition, an image reduction method is adapted by using a pre-calculated look-up table, and integral image calculation method is modified to reduce the processing time. Also, the efficient valid coefficients of a DCT transformed image in the face region are calculated, and the face features are extracted by using the EP-LDA methods. In experiments, the usefulness of the proposed method has been demonstrated on a smart phone with high face verification performances. © 2008 Springer Berlin Heidelberg.
키워드
Face Component Detection, Face Recognition, Mobile Platform
KSP 제안 키워드
Boosting algorithm, Face Components, Face features, Image reduction, Integral Image, Mobile platform, Reduction method, Smart Phone, calculation method, face recognition, face verification