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dc.contributor.authorXue, Mingliang
dc.contributor.supervisorAssoc. Prof. Wanquan Liu
dc.contributor.supervisorAssoc. Prof. Ling Li
dc.contributor.supervisorAssoc. Prof. Ajmal Mian

This thesis is to develop new facial expression recognition techniques based on 2D/3D images or videos, with the purpose to improve the recognition efficiency and accuracy of the current state-of-art. A fully automatic facial expression recognition system is designed, including real-time landmark detection, spatio-temporal feature extraction, hierarchical classification, and most discriminant facial regions identification for expression recognition. In general, the proposed system improved the facial expression recognition state-of-art.

dc.publisherCurtin University
dc.titleDiscriminant feature extraction and selection for person-independent facial expression recognition
curtin.departmentDepartment of Computing
curtin.accessStatusOpen access

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