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Automatic facial expression recognition on a single 3D face by exploring shape deformation
2009
Proceedings of the seventeen ACM international conference on Multimedia - MM '09
Facial expression recognition has many applications in multimedia processing and the development of 3D data acquisition techniques makes it possible to identify expressions using 3D shape information. In this paper, we propose an automatic facial expression recognition approach based on a single 3D face. The shape of an expressional 3D face is approximated as the sum of two parts, a basic facial shape component (BFSC) and an expressional shape component (ESC). The BFSC represents the basic face
doi:10.1145/1631272.1631358
dblp:conf/mm/GongWLT09
fatcat:ob5ziyt6knfitawsaw257vrs3m