An embedded system for real-time facial expression recognition based on the extension theory

作者：Pai Neng Sheng^*; Chang Shih Ping

来源：Computers & Mathematics with Applications, 2011, 61(8): 2101-2106.

DOI：10.1016/j.camwa.2010.08.082

• Embedded system
• Face detection
• Extension theory
• Facial expression recognition

This paper presents a novel facial expression recognition scheme based on extension theory. The facial region is detected and segmented by using feature invariant approaches. Accurate positions of the lips are then extracted as the features of a face. Next, based on the extension theory, basic facial expressions are classified by evaluating the correlation functions among various lip types and positions of the corners of the mouth. Additionally, the proposed algorithm is implemented using the XScale PXA270 embedded system in order to achieve real-time recognition for various facial expressions. Experimental results demonstrate that the proposed scheme can recognize facial expressions precisely and efficiently.

• 出版日期2011-4