Abstract
This paper proposes a novel mechanism to seamlessly integrate face detection and face recognition. After extracting a human face x from an input image, not only x but also its various kinds of transformations are performed recognition. The final decision is then derived from aggregating the accumulated recognition results of each transformed pattern. From experiments, the proposed method has shown a significantly improved recognition performance compared with the traditional method on recognizing human faces.
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© 2002 Springer-Verlag Berlin Heidelberg
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Huang, YS., Tsai, YH. (2002). A Transformation-Based Mechanism for Face Recognition. In: Caelli, T., Amin, A., Duin, R.P.W., de Ridder, D., Kamel, M. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2002. Lecture Notes in Computer Science, vol 2396. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-70659-3_66
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DOI: https://doi.org/10.1007/3-540-70659-3_66
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