An Efficient Face Recognition Using Principle Component Analysis
Abstract
Keywords
Full Text:
PDFReferences
M. Turk and A. Pentland, "Eigenfaces for Recognition" ,Journal of Cognitive Neuroscience, March 2001.
M.A. Turk and A.P. Pentland. “Face recognition using eigenfaces”. In Proc. of Computer Vision and Pattern Recognition, pages 586-591. IEEE, June 1991b.
L.I. Smith. “A tutorial on principal components analysis”
H. Moon, P.J. Phillips, “Computational and Performance aspects of PCA-based Face Recognition Algorithms”, Perception, Vol. 30, 2001, pp. 303-321.
SCILAB Online Documentation “http://www.scilab.org/product/man/”
Delac K., Grgic M., Grgic S., “Independent Comparative Study of PCA, ICA, and LDA on the FERET Data Set”, International Journal of Imaging Systems and Technology, Vol. 15, Issue 5, 2008, pp. 252-260
Scilab Image Video Processing toolbox “http://sivp.sourceforge.net/”
Aditya kelkar,”Face recognition using Eigenfaces Approach”
Dimitri Pissarenko, “Eigenface-based facial recognition”
Ming-Hsuan Yang, “Recent Advances in Face Recognition”
W. Zhao, R. Chellappa, P.J. Phillips and A. Rosenfeld, “ Face Recognition: A Literature Survey”
Jon Shlens, “A Tutorial on Principal Component Analysis Derivation, Discusson and Singular Value Decomposition”, 25 March 2003, Version 1
R.Chellapa, L.Wilson and S.Sirohey “Human and machine Recognition of Faces: A Survey ”, Proc IEEE, vol.83, pp. 705-740, 2005.
Ming-Hsuan Yang, David J.Kriegman, Narendra Ahuja, “Detecting Faces in Images: A Survey”, Proc IEEE, vol.24, pp. 34-58
L.Sirovich and M. Kirby (1987). "Low-dimensional procedure for the characterization of human faces". Journal of the Optical Society of America A 4: 519–524.
A. Yuille, D. Cohen, and P. Hallinan, “Feature extraction from faces using deformable templates,” Proceedings of IEEE Computer Society Conference on Computer Vision and Templates, pp.104-109,2010.
Image database-my own collection of images.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 3.0 License.