facial expression recognition based on anatomical structure of human face

نویسندگان

sina mohseni

gholamreza ardeshir

niloofar zarei

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.

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Facial Expression Recognition Based on Anatomical Structure of Human Face

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عنوان ژورنال:
journal of electrical and computer engineering innovations

ناشر: shahid rajaee teacher training university (srttu)

ISSN 2322-3952

دوره 2

شماره 2 2014

میزبانی شده توسط پلتفرم ابری doprax.com

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