Recognition of Facial Expressions of Animation Characters Using Dominant Colors and Feature Points


KIPS Transactions on Software and Data Engineering, Vol. 18, No. 6, pp. 375-384, Jun. 2011
10.3745/KIPSTB.2011.18.6.375, Full Text:

Abstract

This paper suggests a method to recognize facial expressions of animation characters by means of dominant colors and feature points. The proposed method defines a simplified mesh model adequate for the animation character and detects its face and facial components by using dominant colors. It also extracts edge-based feature points for each facial component. It then classifies the feature points into corresponding AUs(action units) through neural network, and finally recognizes character facial expressions with the suggested AU specification. Experimental results show that the suggested method can recognize facial expressions of animation characters reliably.


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Cite this article
[IEEE Style]
S. W. Jang, G. Y. Kim and H. S. Na, "Recognition of Facial Expressions of Animation Characters Using Dominant Colors and Feature Points," KIPS Journal B (2001 ~ 2012) , vol. 18, no. 6, pp. 375-384, 2011. DOI: 10.3745/KIPSTB.2011.18.6.375.

[ACM Style]
Seok Woo Jang, Gye Young Kim, and Hyun Suk Na. 2011. Recognition of Facial Expressions of Animation Characters Using Dominant Colors and Feature Points. KIPS Journal B (2001 ~ 2012) , 18, 6, (2011), 375-384. DOI: 10.3745/KIPSTB.2011.18.6.375.