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http://dx.doi.org/10.3745/KIPSTB.2011.18B.6.375

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

Jang, Seok-Woo (안양대학교 디지털미디어학과)
Kim, Gye-Young (숭실대학교 IT대학 컴퓨터학부)
Na, Hyun-Suk (숭실대학교 IT대학 컴퓨터학부)
Publication Information
The KIPS Transactions:PartB / v.18B, no.6, 2011 , pp. 375-384 More about this Journal
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.
Keywords
Animation Character; Facial Expression; Feature Point; Neural Network;
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