Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICPR.2010.919
Title: Resampling approach to facial expression recognition using 3D meshes
Authors: Venkatesh, Y.V. 
Kassim, A.K. 
Murthy, O.V.R. 
Keywords: 3D meshes
Facial expression recognition
Fourier transform
K-means clustering
Issue Date: 2010
Source: Venkatesh, Y.V.,Kassim, A.K.,Murthy, O.V.R. (2010). Resampling approach to facial expression recognition using 3D meshes. Proceedings - International Conference on Pattern Recognition : 3772-3775. ScholarBank@NUS Repository. https://doi.org/10.1109/ICPR.2010.919
Abstract: We propose a novel strategy, based on resampling of 3D meshes, to recognize facial expressions. This entails conversion of the existing irregular 3D mesh structure in the database to a uniformly sampled 3D matrix structure. An important consequence of this operation is that the classical correspondence problem can be dispensed with. In the present paper, in order to demonstrate the feasibility of the proposed strategy, we employ only spectral flow matrices as features to recognize facial expressions. Experimental results are presented, along with suggestions for possible refinements to the strategy to improve classification accuracy. © 2010 IEEE.
Source Title: Proceedings - International Conference on Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/71618
ISBN: 9780769541099
ISSN: 10514651
DOI: 10.1109/ICPR.2010.919
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