Facial Expression Recognition Based on PSO Optimization

Zhi Jie Li; Xiao Dong Duan; Jiang Shuo

doi:10.4028/www.scientific.net/AMM.411-414.1151

Paper Titles

An Approach for Predicting Clinical EEG Signal Based on SVM
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A UDWT Technique to Improve the Optical Signal Denoising Effect
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Adaptive Radio Frequency (RF) Identification Based on Frequency Domain Analysis for Open Non-Gaussian Background Environment
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Facial Expression Recognition Based on PSO Optimization
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RL Algorithm for Passive Millimeter Wave Imaging Based on BM3D
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An Improved Touching-Cell Splitting Algorithm Based on Bottleneck Detection
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A New Regularization Model Based on Non-Local Means for Image Deblurring
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A Cloud Support Vector Machine Model Based on Image Semantics
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Facial Expression Recognition Based on PSO...

Facial Expression Recognition Based on PSO Optimization

Abstract:

A method for precise face detection and segmentation is presented combining with the particle swarm optimization. In order to extract face feature precisely, the method uses two key technologies: skin color segmentation and particle swarm search. The experimental results show that this method can eliminate the interference factor, and improve the accuracy of expression recognition, especially well for some single expression recognition.