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This research presents a robust facial expression recognition method utilizing RGB-D images and multichannel features to overcome challenges posed by illumination, head poses, and disguise. The approach combines texture features extracted from both RGB and depth images with geometric features obtained through Active Appearance Model (AAM), and employs an optimized Support Vector Machine (SVM) for classification. Experimental results demonstrate that the proposed method achieves a higher recognition rate and

Author

sleepymonkeys129

Language

EN