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This conference paper investigates the impact of aging on facial expression recognition, highlighting that age-related changes in facial structure can hinder both human and machine recognition of emotions. The authors propose a framework utilizing shape, texture, and appearance features, achieving high accuracy rates in expression recognition across different age groups. The study emphasizes the necessity of age-specific models for improved classification performance in automatic facial expression recogniti

Author

abhishekshetty12305

Language

EN