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Symbolic Factorial Discriminant Analysis for 3D Face Recognition

P.S. Hiremath1 , M. Hiremath2

Section:Research Paper, Product Type: Journal Paper
Volume-2 , Issue-1 , Page no. 6-12, Jan-2014

Online published on Feb 04, 2014

Copyright © P.S. Hiremath, M. Hiremath . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: P.S. Hiremath, M. Hiremath, “Symbolic Factorial Discriminant Analysis for 3D Face Recognition,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.1, pp.6-12, 2014.

MLA Style Citation: P.S. Hiremath, M. Hiremath "Symbolic Factorial Discriminant Analysis for 3D Face Recognition." International Journal of Computer Sciences and Engineering 2.1 (2014): 6-12.

APA Style Citation: P.S. Hiremath, M. Hiremath, (2014). Symbolic Factorial Discriminant Analysis for 3D Face Recognition. International Journal of Computer Sciences and Engineering, 2(1), 6-12.

BibTex Style Citation:
@article{Hiremath_2014,
author = {P.S. Hiremath, M. Hiremath},
title = {Symbolic Factorial Discriminant Analysis for 3D Face Recognition},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2014},
volume = {2},
Issue = {1},
month = {1},
year = {2014},
issn = {2347-2693},
pages = {6-12},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=31},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=31
TI - Symbolic Factorial Discriminant Analysis for 3D Face Recognition
T2 - International Journal of Computer Sciences and Engineering
AU - P.S. Hiremath, M. Hiremath
PY - 2014
DA - 2014/02/04
PB - IJCSE, Indore, INDIA
SP - 6-12
IS - 1
VL - 2
SN - 2347-2693
ER -

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Abstract

Automatic recognition of human faces is considered to be a challenging task despite significant progress in both computer vision and pattern recognition. A facial recognition system is a computer application of automatically identifying or verifying a person from a digital image or a video frame from a video source. Often, variations such as in-depth pose changes or illumination variations increase the dissimilarity of two face images of the same person more than the dissimilarity of different persons� face images. In this paper, we have proposed a novel method for three dimensional (3D) face recognition using Radon transform and Symbolic Factorial Discriminant Analysis (Symbolic FDA) is proposed. In this method, the Symbolic Factorial Discriminant Analysis (Symbolic FDA) based feature computation takes into account of face image variations to a larger extent and has the advantage of dimensionality reduction. The experimental results have yielded 99.80% recognition performance with reduced computational cost, which compares well with other state-of-the-art methods.

Key-Words / Index Term

3D face recognition, Range image, Radon transform, Symbolic factorial discriminant analysis (Symbolic FDA)

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