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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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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creator Kaushik, V.D.
Singh, S.
Tiwari, H.
Goyal, S.K.
Pathak, V.K.
Gupta, P.
description 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.
doi_str_mv 10.1109/NTMS.2008.ECP.28
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Data mining
Face recognition
Facial features
Feature extraction
Independent component analysis
Linear discriminant analysis
Nose
Principal component analysis
Surface fitting
Testing
title Automatic 3D Facial Feature Extraction Algorithm
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