Shape and texture based facial action and emotion recognition

Zhang, Li, Mistry, Kamlesh and Hossain, Alamgir (2014) Shape and texture based facial action and emotion recognition. In: 13th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2014), 5th - 9th May 2014, Paris, France.

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In this paper, we present an intelligent facial emotion recognition system with real-time face tracking for a humanoid robot. The system is able to detect facial actions and emotions from images with up to 60 degrees of pose variations. We employ the Active Appearance Model to perform real-time face tracking and extract both texture and geometric representations of images. A POSIT algorithm is also used to identify head rotations. The extracted texture and shape features are employed to detect 18 facial actions and seven basic emotions. The overall system is integrated with a humanoid robot platform to further extend its vision APIs. The system proved to be able to deal with challenging facial emotion recognition tasks with various pose variations.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Active Appearance model; Facial emotion recognition; POSIT
Subjects: G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 04 Dec 2014 16:27
Last Modified: 13 Oct 2019 00:37

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