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Facial Expression Recognition Based on Anatomical Structure of Human Face | ||
| Journal of Electrical and Computer Engineering Innovations (JECEI) | ||
| مقاله 4، دوره 2، شماره 2 - شماره پیاپی 4، مهر 2014، صفحه 77-83 اصل مقاله (418.57 K) | ||
| نوع مقاله: Original Research Paper | ||
| شناسه دیجیتال (DOI): 10.22061/jecei.2014.245 | ||
| نویسندگان | ||
| S. Mohseni* 1؛ G. Ardeshir1؛ N. Zarei2 | ||
| 1Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology | ||
| 2Faculty of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| تاریخ دریافت: 07 خرداد 1393، تاریخ بازنگری: 17 خرداد 1393، تاریخ پذیرش: 09 تیر 1393 | ||
| چکیده | ||
| Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and human face structure. The algorithm finds approximate location of effective facial muscles and extracts features by measuring skin texture in 11 local patches. Seven facial expressions, including neutral are being classified in this study using AdaBoost classifier and other classifiers on MMI databases. Experimental results show that analyzing skin texture from selected local patches gives accurate and efficient information in order to identify different facial expressions. | ||
| کلیدواژه‌ها | ||
| Facial expression analysis؛ Human facial anatomy؛ Adaboost classifier؛ Support vector machine | ||
| مراجع | ||
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