3-D Facial Animation on the PDA via Automatic Facial Expression Recognition 


Vol. 12,  No. 7, pp. 795-802, Dec.  2005
10.3745/KIPSTB.2005.12.7.795


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  Abstract

In this paper, we present a facial expression recognition-synthesis system that recognizes 7 basic emotion information automatically and renders face with non-photorealistic style in PDA. For the recognition of the facial expressions, first we need to detect the face area within the image acquired from the camera. Then, a normalization procedure is applied to it for geometrical and illumination corrections. To classify a facial expression, we have found that when Gabor wavelets is combined with enhanced Fisher model the best result comes out. In our case, the out put is the 7 emotional weighting. Such weighting information transmitted to the PDA via a mobile network, is used for non-photorealistic facial expression animation. To render a 3-D avatar which has unique facial character, we adopted the cartoon-like shading method. We found that facial expression animation using emotional curves is more effective in expressing the timing of an expression comparing to the linear interpolation method.

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[IEEE Style]

D. S. Lee, S. M. Choi, H. K. Kim, Y. G. Kim, "3-D Facial Animation on the PDA via Automatic Facial Expression Recognition," The KIPS Transactions:PartB , vol. 12, no. 7, pp. 795-802, 2005. DOI: 10.3745/KIPSTB.2005.12.7.795.

[ACM Style]

Don Soo Lee, Soo Mi Choi, Hae Kwang Kim, and Yong Guk Kim. 2005. 3-D Facial Animation on the PDA via Automatic Facial Expression Recognition. The KIPS Transactions:PartB , 12, 7, (2005), 795-802. DOI: 10.3745/KIPSTB.2005.12.7.795.

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