Automatic 3D Facial Feature Extraction Algorithm

This paper presents a novel algorithm for automatic facial feature extraction from 3D facial data. The proposed algorithm is found to be pose and expression invariant. It is successfully tested on 3D face database from the State University of New York, Binghamton, USA. In order to test the algorithm...

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Bibliographic Details
Main Authors: Kaushik, V.D., Singh, S., Tiwari, H., Goyal, S.K., Pathak, V.K., Gupta, P.
Format: Conference Proceeding
Language:English
Subjects:
Data mining
Face recognition
Facial features
Feature extraction
Independent component analysis
Linear discriminant analysis
Nose
Principal component analysis
Surface fitting
Testing
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Description
Summary:This paper presents a novel algorithm for automatic facial feature extraction from 3D facial data. The proposed algorithm is found to be pose and expression invariant. It is successfully tested on 3D face database from the State University of New York, Binghamton, USA. In order to test the algorithm, the images have been regenerated using these extracted features. Bezier surface algorithm has been used for regeneration.
ISSN:2157-4952
DOI:10.1109/NTMS.2008.ECP.28