Abstract
An automatic face analysis system is proposed which uses face recognition and facial physiognomy. It first detects human’s face, extracts its features, and classifies the shape of facial features. It will analyze the person’s facial physiognomy and then automatically make an avatar drawing using the facial features. The face analysis method of the proposed algorithm can recognize face at real-time and analyze facial physiognomy which is composed of inherent physiological characteristics of humans, orientalism, and fortunes with regard to human’s life. The proposed algorithm can draw the person’s avatar automatically based on face recognition. We conform that the proposed algorithm could contribute to the scientific and quantitative on-line face analysis fields as well as the biometrics.
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References
Selin Baskan, M., Baskan, S., Bulut, M.M., Atalay, V.: Projection Based Method for Segmentation of Human Face and its Evaluation. Pattern Recognition Letters 23, 1623–1629 (2002)
Kim, Y.G., Lee, O., Lee, C., Oh, H.: Facial Caricaturing System with Correction of Facial Decline. Proceeding of Korea Information Processing Society 8(1), 887–890 (2001)
Brunelli, P., et al.: Face Recognition: Feature Versus Templates. IEEE Transaction on Pattern Analysis Machine Intelligence 15, 1042–1052 (1993)
Samal, A., Iyengar., P.A.,: Automatic Recognition and Analysis of Human Faces and Facial Expression: A Survey. Pattern Recognition 25, 65–77 (1992)
Jang, K.S.: Facial Feature Detection Using Heuristic Cost Function. Journal of Korea Information Processing Society 8(2), 183–188 (2001)
Lee, E.J.: Favorite Color Correction for Reference Color. IEEE Transaction on Con-sumer Electronics 44, 10–15 (1998)
Liu, Z., Wang, Y.: Face Detection and Tracking in Video Using Dynamic Program. In: IEEE International Conference on Image Processing, vol. 2, pp. 53–56 (2000)
Cardinaux, F., Sanderson, C., Bengio, S.: User Authentication via Adapted Statistical Models of Face Images. IEEE Transaction on Signal Processing 54(1), 361–373 (2005)
Yang, M.H., Kriegman, D., Ahuja, N.: Detecting Faces in Images: A Survey. IEEE Transaction on Pattern Analysis Machine Intelligence 24(1), 34–58 (2002)
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Lee, EJ., Kwon, KR. (2007). Automatic Face Analysis System Based on Face Recognition and Facial Physiognomy. In: Szczuka, M.S., et al. Advances in Hybrid Information Technology. ICHIT 2006. Lecture Notes in Computer Science(), vol 4413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77368-9_13
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DOI: https://doi.org/10.1007/978-3-540-77368-9_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77367-2
Online ISBN: 978-3-540-77368-9
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