標題: Robust Facial Emotion Recognition Using a Temporal-Reinforced Approach
作者: Song, Kai-Tai
Lin, Chao-Yu
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: Facial expression recognition;image processing;pattern recognition
公開日期: 2014
摘要: In this paper, a temporal-reinforced approach to enhancing emotion recognition from facial images is presented. Shape and texture models of facial images are computed by using active appearance model (AAM), from which facial feature points and geometrical feature values are extracted. The extracted features are used by relevance vector machine (RVM) to recognize emotional states. We propose a temporal analysis approach to recognizing likelihood of emotional categories, such that more subtle emotion, such as degree and ratio of basic emotional states can be obtained. Furthermore, a method is developed to map the recognition result to the arousal-valence plane (A-V Plane). Experimental results verify that the performance of emotion recognition is enhanced by the proposed method.
URI: http://hdl.handle.net/11536/135282
ISBN: 978-89-93215-06-9
ISSN: 2093-7121
期刊: 2014 14TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2014)
起始頁: 804
結束頁: 807
顯示於類別:會議論文