Abstract
There exist a number of applications that make use of automatic facial expression synthesis and analysis, especially for interaction or communication between human and computers. This paper proposes a novel approach for facial expression synthesis that can generate realistic expressions for a new person with natural expression details. This approach is based on local geometry preserving between the input face image and the target expression image. In order to generate expressions with arbitrary intensity and mixed expression types, this paper also develops an expression analysis scheme based on Supervised Locality Preserving Projections (SLPP) that aligns different subjects and different intensities on a generalized expression manifold. Experimental results demonstrate the effectiveness of the proposed algorithm.
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References
Roweis, S.T., Saul, L.K.: Nonlinear Dimensionality Reduction by Locally Linear Embedding. Science 290, 2323–2326 (2000)
He, X., Niyogi, P.: Locality Preserving Projections. In: 17th Annual Conf. on Neural Information Processing Systems, Canada (2003)
Ridder, D., Kouropteva, O., Okun, O., Pietikainen, M., Duin, R.P.W.: Supervised locally linear embedding. In: Kaynak, O., Alpaydın, E., Oja, E., Xu, L. (eds.) ICANN 2003 and ICONIP 2003. LNCS, vol. 2714, pp. 333–341. Springer, Heidelberg (2003)
Cheng, J., Liu, Q., Lu, H., Chen, Y.: Supervised kernel locality preserving projections for face recognition. Neurocomputing 67, 443–449 (2005)
Shan, C., Gong, S., McOwan, P.W.: Appearance Manifold of Facial Expression. In: ICCV workshop on HCI (2005)
Hu, C., Chang, Y., Feris, R., Yurk, M.: Manifold based analysis of facial expression. In: CVPR Workshop on Face Processing in Video (2004)
Chang, Y., Hu, C., Turk, M.: Manifold of Facial Expression. In: Int. Workshop on Analysis and Modeling of Faces and Gestures (2003)
Wang, H., Ahuja, N.: Facial expression decomposition. In: Int. Conf. on Computer Vision (2003)
Tian, Y., Kanade, T., Cohn, J.F.: Recognizing Action Units for Facial Expression Analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence 23, 97–115 (2001)
Chandrasiri, N.P., Naemura, T., Harashima, H.: Interactive Analysis and Synthesis of Facial Expressions based on Personal Facial Expression Space. In: Int. Conf. on Face and Gesture Recognition (2004)
Pantic, M.: Automatic Analysis of Facial Expressions: The State of the Art. IEEE Trans. on Pattern Analysis and Machine Intelligence 22, 1424–1445 (2000)
Yeasin, M., Bullot, B., Sharma, R.: Recognition of Facial Expressions and Measurement of Levels of Interest From Video. IEEE Trans. on Multimedia 8, 500–508 (2006)
Zhang, Q., Liu, Z., Guo, B., Terzopoulos, E., Shum, H.Y.: Geometry-Driven Photorealistic Facial Expression Synthesis. IEEE Trans. on Visualization and Computer Graphics 12, 48–60 (2006)
Du, Y., Lin, X.: Mapping Emotional Status to Facial Expressions. In: Int. Conf. on Pattern Recognition (2002)
Liu, Q., Tang, X., Jin, H., Lu, H., Ma, S.: A nonlinear approach for face sketch synthesis and recognition. In: Computer Vision and Pattern Recognition (2005)
Tang, X., Wang, X.: Face sketch synthesis and recognition. In: Int. Conf. on Computer Vision (2003)
Kanade, T., Cohn, J.F., Tian, Y.: Comprehensive Database for Facial Expression Analysis. In: Int. Conf. on Face and Gesture Recognition (2000)
Shan, C., Gong, S., McOwan, P.W.: A Comprehensive Empirical Study on Linear Subspace Methods for Facial Expression Analysis. In: CVPR Workshop (2006)
Kouzani, A.Z.: Facial Expression Synthesis. In: Int. Conf. on Image Processing (1999)
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Wang, H. (2008). Facial Expression Synthesis and Analysis. In: Filipe, J., Obaidat, M.S. (eds) E-business and Telecommunications. ICETE 2007. Communications in Computer and Information Science, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88653-2_20
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DOI: https://doi.org/10.1007/978-3-540-88653-2_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88652-5
Online ISBN: 978-3-540-88653-2
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