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HYBRID ANN AND FIREWORKS ALGORITHM FOR REAL-TIME SOFTWARE RELIABILITY PREDICTION

Ivy Botchway Felix Larbi Aryeh Boniface Kayode Alese
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A Supervised Hybrid Methodology for Pose and Illumination Invariant 3D Face Recognition

by Nita M. Thakare, V.m. Thakare
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 25
Year of Publication: 2012
Authors: Nita M. Thakare, V.m. Thakare
10.5120/7537-474

Nita M. Thakare, V.m. Thakare . A Supervised Hybrid Methodology for Pose and Illumination Invariant 3D Face Recognition. International Journal of Computer Applications. 47, 25 ( June 2012), 24-29. DOI=10.5120/7537-474

@article{ 10.5120/7537-474,
author = { Nita M. Thakare, V.m. Thakare },
title = { A Supervised Hybrid Methodology for Pose and Illumination Invariant 3D Face Recognition },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 25 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 24-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number25/7537-474/ },
doi = { 10.5120/7537-474 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:42:55.778332+05:30
%A Nita M. Thakare
%A V.m. Thakare
%T A Supervised Hybrid Methodology for Pose and Illumination Invariant 3D Face Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 25
%P 24-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The 2D face recognition systems encounter difficulties in recognizing faces with illumination variations. The depth map of the 3D face data has the potential to handle the variation in illumination of face images. The view variations are handled by using the moment invariants. Moment Invariants are used as rotation invariant features of the face image. For feature matching an efficient fuzzy-neural technique is proposed. The PCA components of normalized depth map and Moment invariants on mesh images are used successfully to implement a fuzzy neural network based fully automatic 3D face recognition system. The system is evaluated on the 3D face databases, the CASIA database. The proposed system provides recognition accuracy that is resulted in to an efficient 3D face recognition system

References
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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy-neural Network (fnn) 3d-face Recognition Depth Map Moment Invariants.

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