CFP last date
20 May 2024
Reseach Article

Identification of Facial Gestures using Principal Component Analysis and Minimum Distance Classifier

by Sandipan Banerjee, G. Sanyal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 48 - Number 21
Year of Publication: 2012
Authors: Sandipan Banerjee, G. Sanyal
10.5120/7477-0493

Sandipan Banerjee, G. Sanyal . Identification of Facial Gestures using Principal Component Analysis and Minimum Distance Classifier. International Journal of Computer Applications. 48, 21 ( June 2012), 1-6. DOI=10.5120/7477-0493

@article{ 10.5120/7477-0493,
author = { Sandipan Banerjee, G. Sanyal },
title = { Identification of Facial Gestures using Principal Component Analysis and Minimum Distance Classifier },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 48 },
number = { 21 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume48/number21/7477-0493/ },
doi = { 10.5120/7477-0493 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:44:39.060305+05:30
%A Sandipan Banerjee
%A G. Sanyal
%T Identification of Facial Gestures using Principal Component Analysis and Minimum Distance Classifier
%J International Journal of Computer Applications
%@ 0975-8887
%V 48
%N 21
%P 1-6
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Face recognition has been one of the most active fields of research for the last couple of decades and vision enthusiasts have proposed many ways to identify and recognize correctly a person from the image of his face. Here we propose an algorithm which not only detects the person's face but also identifies the expression or gesture on his face. The method at first detects the face region from a 2-dimensional image of a given person and then are projected on the "Face Space" which is the feature space containing the Eigen Vectors of the face images. The face template that has the minimum distance from the test image is evaluated as the best match and the expression label it possesses is therefore taken as the required expression of the test image.

References
  1. Weiming Hu and Tieniu Tan, "A Survey on Visual Surveillance of Object Motion and Behaviours", IEEE Transactions on Systems, Man and Cybernetics-Part C, Application and Reviews, Vol. 34 No. 3, August 2004.
  2. M. Turk and A. Pentland, "Eigenfaces for Recognition", Journal of Cognitive Neuroscience, 1991.
  3. M. Turk and A. Pentland, "Face Recognition using Eigenfaces", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1991.
  4. Giovanni Garibotto and Carlo Cibei, "3D Scene Analysis by Real-Time Stereovision", Proceedings of the IEEE Conference on Image Processing, 2005.
  5. T. Tian and C. Tomasi, "Comparison of Approaches in Egomotion Computation", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 315-320, 1996.
  6. Chung-Lin Huang and Yu-Ming Huang, "Facial Expression Recognition using Model Based Feature Extraction and Action Parameter Classification", Journal of Visual Communication and Image Representation, Vol. 8 No. 3, pp. 278-290, 1997.
  7. A. J. Calder, A. M. Burton, P. Miller Brown, A. W. Young, S. Akamatsu, "A Principal Component Analysis of Facial Expressions", Elsevier Vision Research 41, pp. 1179-1208, 2001.
  8. L. Di Stefano and A. Bulgarelli, "A Simple and Efficient Connected Component Labeling Algorithm", Proceedings of the International Conference on Image Analysis and Processing, pp. 322-327, 1999.
  9. B. K. Gunturk, A. U. Batur, Y. Altunbasak, M. H. Hayes III, R. M. Marsereau, "Eigenface based super-resolution for face recognition", Proceedings of International Conference on Image Processing, 2002.
  10. O. D. Trier and A. K. Jain, "Goal-directed Evaluation of Binarization Methods", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17 No. 12, pp. 1191-1201, 1995.
Index Terms

Computer Science
Information Sciences

Keywords

Face Detection Gesture Recognition Minimum Distance Classifier Principal Component Analysis (pca)