A general approach to connected-component labeling for arbitrary image representations
Journal of the ACM (JACM)
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Embedded Linux Primer: A Practical Real-World Approach
Embedded Linux Primer: A Practical Real-World Approach
A hybrid approach for generating secure and discriminating face template
IEEE Transactions on Information Forensics and Security
Extension neural network-type 2 and its applications
IEEE Transactions on Neural Networks
Fast pedestrian detection system with a two layer cascade of classifiers
Computers & Mathematics with Applications
A multimodal approach for online estimation of subtle facial expression
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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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.