Publication Type:

Conference Paper

Source:

2010 20th International Conference on Pattern Recognition (2010)

Keywords:

3D matrix structure, 3D meshes, 3D meshes resampling, Databases, face, Face recognition, Facial expression recognition, Feature extraction, Fourier Transform, irregular 3D mesh structure, K-means clustering, Matrix algebra, Mesh generation, Nearest Neighbourhood, Shape, solid modelling, spectral flow matrices, Three dimensional displays

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.

Cite this Research Publication

Y. V. Venkatesh, Kassim, A. K., and Dr. Oruganti Venkata Ramana Murthy, “Resampling Approach to Facial Expression Recognition Using 3D Meshes”, in 2010 20th International Conference on Pattern Recognition, 2010.

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