• Jan 05, 2017 News![CFP] 2017 the annual meeting of IJFCC Editorial Board, ICCTD 2017, will be held in Paris, France during March 20-22, 2017.   [Click]
  • Mar 24, 2016 News! IJFCC Vol. 4, No. 4 has been indexed by EI (Inspec).   [Click]
  • Dec 29, 2016 News!Vol.5, No.6 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3751
    • Frequency: Bimonthly
    • DOI: 10.18178/IJFCC
    • Editor-in-Chief: Prof. Mohamed Othman
    • Executive Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, Engineering & Technology Digital Library, and Crossref, DOAJ, Electronic Journals LibraryEI (INSPEC, IET).
    • E-mail:  ijfcc@ejournal.net 
Editor-in-chief
Prof. Mohamed Othman
Department of Communication Technology and Network Universiti Putra Malaysia, Malaysia
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.
IJFCC 2013 Vol.2(5):520-523 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.218

Support Vector Machine Components - Based Face Recognition Technique using 3D Morphable Modeling Method

Mukundhan Srinivasan and Nivas Ravichandran
Abstract—We present a novel solution towards the problem of pose and illumination variation of face detection (FD) and face recognition (FR). In this paper, two advanced method are used to provide pose and illumination invariant FR. The 3D morphable model is implemented to generate 3D face images from our very own training database. This process requires a set of three input face images with varying pose and illumination constraints. The resulting 3D model is then used to train the Support Vector Machine (SVM) component-based FR. SVM component-based 3D model has promising results yielding close to 92.6% accuracy when tested on three training face images of each subject under test.

Index Terms—Face recognition, 3D model, support vector machine (SVM), component-based recognition.

The authors are with the Department of Electronics & Communication Engineering, College of Engineering, Alpha Group of Institutions, Chennai, TN India (e-mail: mukundhan@ ieee.org, nivasravichandran@ieee.org).

[PDF]

Cite: Mukundhan Srinivasan and Nivas Ravichandran, "Support Vector Machine Components - Based Face Recognition Technique using 3D Morphable Modeling Method," International Journal of Future Computer and Communication vol. 2, no. 5, pp. 520-523, 2013.

Copyright © 2008-2016. International Journal of Future Computer and Communication. All rights reserved.
E-mail: ijfcc@ejournal.net