UPM-3D facial expression recognition Database(UPM-3DFE)

Authors:
Rabiu Habibu;Mashohor Syamsiah;Marhaban Mohammad Hamiruce;Saripan M. Iqbal
Affiliations:
Multimedia System Laboratory, Department of Computer and Communication Systems, Universiti Putra Malaysia, Serdang, Selangor, Malaysia;Multimedia System Laboratory, Department of Computer and Communication Systems, Universiti Putra Malaysia, Serdang, Selangor, Malaysia;Multimedia System Laboratory, Department of Computer and Communication Systems, Universiti Putra Malaysia, Serdang, Selangor, Malaysia;Multimedia System Laboratory, Department of Computer and Communication Systems, Universiti Putra Malaysia, Serdang, Selangor, Malaysia
Venue:
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Year:
2012

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Abstract

Facial expression studies have now become the central topic among computer vision community; this can be attributed to application it finds in security, human computer interaction, entertainment industries, etc. Using the state of art equipment, We Built a 3D facial expression database named UPM-3DFE database. This database contained 350 face images of 50 persons, with each posing the six universally accepted facial expressions ie; happy, sad, angry, fear, disgust and surprise. The participants are drawn from different ancestral/ethnic background. The database was evaluated using both subjective and objective analysis. We further investigated the relationship between the machine expression recognition and the human effort required to mimic the expression. The result shows a negative correlation.