Facial Expression Recognition Based on Anatomical Structure of Human Face
سال انتشار: 1393
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 593
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شناسه ملی سند علمی:
JR_JECEI-2-2_004
تاریخ نمایه سازی: 15 آذر 1394
چکیده مقاله:
Automatic analysis of human facial expressions is one of the challengingproblems in machine vision systems. It has many applications in humancomputerinteractions 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 recognitionbased on facial muscle anatomy and human face structure. The algorithmfinds approximate location of effective facial muscles and extractsfeatures by measuring skin texture in 11 local patches. Seven facialexpressions, including neutral are being classified in this study usingAdaBoost classifier and other classifiers on MMI databases. Experimentalresults show that analyzing skin texture from selected local patches givesaccurate and efficient information in order to identify different facialexpressions.
کلیدواژه ها:
نویسندگان
Sina Mohseni
Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology
Gholamreza Ardeshiri
Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology
Niloofar Zarei
Faculty of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran