Please use this identifier to cite or link to this item:
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
Citation: 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.
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
ISBN: 9780769541099
ISSN: 10514651
DOI: 10.1109/ICPR.2010.919
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Jun 16, 2019

Page view(s)

checked on Jun 14, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.