NDLI: Expressive Maps for 3D Facial Expression Recognition

Content Provider	IEEE Xplore Digital Library
Author	Ocegueda, O. Tianhong Fang Shah, S.K. Kakadiaris, I.A.
Copyright Year	2011
Description	Author affiliation: Computational Biomedicine Lab, Univ. of Houston, TX, USA (Ocegueda, O.; Tianhong Fang; Shah, S.K.; Kakadiaris, I.A.)
Abstract	We present a semi-automatic 3D Facial Expression Recognition system based on geometric facial information. In this approach, the 3D facial meshes are first fitted to an Annotated Face Model (AFM). Then, the Expressive Maps are computed, which indicate the parts of the face that are most expressive according to a particular geometric feature (e.g., vertex coordinates, normals, and local curvature). The Expressive Maps provide a way to analyze the geometric features in terms of their discriminative information and their distribution along the face and allow the reduction of the dimensionality of the input space to 2:5% of the original size. Using the selected features a simple linear classifier was trained and yielded a very competitive average recognition rate of 90:4% when evaluated using ten-fold cross validation on the publicly available BU-3DFE database.
Starting Page	1270
Ending Page	1275
File Size	928306
Page Count	6
File Format	PDF
ISBN	9781467300629
e-ISBN	9781467300636
DOI	10.1109/ICCVW.2011.6130397
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-11-06
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Geometry Deformable models Face recognition Mouth Three dimensional displays Vectors Face
Content Type	Text
Resource Type	Article

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