Robust Face Recognition Using Eigen Faces and Karhunen-Loeve Algorithm
The current research paper is an implementation of
Eigen Faces and Karhunen-Loeve Algorithm for face recognition.
The designed program works in a manner where a unique
identification number is given to each face under trial. These faces
are kept in a database from where any particular face can be matched
and found out of the available test faces. The Karhunen –Loeve
Algorithm has been implemented to find out the appropriate right
face (with same features) with respect to given input image as test
data image having unique identification number. The procedure
involves usage of Eigen faces for the recognition of faces.
[1] Turk, M., Pentland, A., "Eigenfaces for recognition", J. Cognitive
Neuroscience, 3 (1991), pp. 71-86.
[2] Belhumeur, P., Hespanha, J., Kriegman, D., "Eigenfaces vs.
Fisherfaces: recognition using class specific linear projection", IEEE
Transactions on Pattern Analysis and Machine Intelligence, 19 (1997) ,
pp. 711-720.
[3] Tolba, El-Baz, El-Harby, "Face Recognition - A Literature Review",
International Journal of Signal Processing, vol. 2, no. 2, 2005, pp. 88-
103.
[4] M. Turk and A. Pentland, "Eigenfaces For Recognition", Journal of
Cognitive Neuroscience, vol. 3, 1991, pp.71-86.
[5] Turk, Pentland, "Face Recognition Using Eigen Faces", In Proceedings
of Computer Vision and Pattern Recognition, IEEE, June 1991, pp. 586-
591.
[6] http://scien.stanford.edu/class/ee368/projects2001/dropbox/project16/
[7] http://www.irc.atr.jp/%7Emlyons/pub_pdf/fg98-1.pdf
[8] http://www.kasrl.org/jaffe.html
[9] S. Zeki, "The Visual Image in Mind and Brain", Scient. American,
1992, pp. 43-50.
[10] R. Baron, "Mechanisms of human facial recognition", Int. J. Man-
Machine Studies, Vol. 15, 1981, pp. 137-178.
[11] C. Liu, "Statistical And Evolutionary Approaches For Face
Recognition", Ph.D. Dissertation, Geo. Mason Uni, 1999.
[12] Y. Cui and J. Weng, "A Learning-Based Prediction-and-Verification
Segmentation Scheme for Hand Sign Image Sequance", IEEE Trans. on
Patt. Ana. and Mach. Intell., vol. 21, 1999, pp. 798-804.
[13] S. J. McKenna, S. Gong and Y. Raja, "Modelling Facial Color and
Identity with Gaussian Mixtures", Patt. Recog, vol. 31(12), 1998, pp.
1883-1892.
[14] M. Turk and A. Pentland, "Eigenfaces for Recognition", Journal of
Cognitive Neuroscience, vol. 3(1), 1991, pp. 71-86.
[15] T. McInery and D. Terzopoulos, "Deformable Models In Medical Image
Analysis: A Survey", Medical Image Analysis, vol. 1, 1996, pp. 91-108.
[16] W.N. Martin and J.K. Aggarwal, "Dynamic Scene Analysis: A Survey",
Computer Vision, Graphics and Image Process, vol. 7, 1978, pp. 356-
374.
[17] J. K. Aggarwal and N. Nandhakumar, "On The Computation Of
Motion From Sequences Of Images", Proc. IEEE, Vol. 76, 1988, pp.
917-935.
[1] Turk, M., Pentland, A., "Eigenfaces for recognition", J. Cognitive
Neuroscience, 3 (1991), pp. 71-86.
[2] Belhumeur, P., Hespanha, J., Kriegman, D., "Eigenfaces vs.
Fisherfaces: recognition using class specific linear projection", IEEE
Transactions on Pattern Analysis and Machine Intelligence, 19 (1997) ,
pp. 711-720.
[3] Tolba, El-Baz, El-Harby, "Face Recognition - A Literature Review",
International Journal of Signal Processing, vol. 2, no. 2, 2005, pp. 88-
103.
[4] M. Turk and A. Pentland, "Eigenfaces For Recognition", Journal of
Cognitive Neuroscience, vol. 3, 1991, pp.71-86.
[5] Turk, Pentland, "Face Recognition Using Eigen Faces", In Proceedings
of Computer Vision and Pattern Recognition, IEEE, June 1991, pp. 586-
591.
[6] http://scien.stanford.edu/class/ee368/projects2001/dropbox/project16/
[7] http://www.irc.atr.jp/%7Emlyons/pub_pdf/fg98-1.pdf
[8] http://www.kasrl.org/jaffe.html
[9] S. Zeki, "The Visual Image in Mind and Brain", Scient. American,
1992, pp. 43-50.
[10] R. Baron, "Mechanisms of human facial recognition", Int. J. Man-
Machine Studies, Vol. 15, 1981, pp. 137-178.
[11] C. Liu, "Statistical And Evolutionary Approaches For Face
Recognition", Ph.D. Dissertation, Geo. Mason Uni, 1999.
[12] Y. Cui and J. Weng, "A Learning-Based Prediction-and-Verification
Segmentation Scheme for Hand Sign Image Sequance", IEEE Trans. on
Patt. Ana. and Mach. Intell., vol. 21, 1999, pp. 798-804.
[13] S. J. McKenna, S. Gong and Y. Raja, "Modelling Facial Color and
Identity with Gaussian Mixtures", Patt. Recog, vol. 31(12), 1998, pp.
1883-1892.
[14] M. Turk and A. Pentland, "Eigenfaces for Recognition", Journal of
Cognitive Neuroscience, vol. 3(1), 1991, pp. 71-86.
[15] T. McInery and D. Terzopoulos, "Deformable Models In Medical Image
Analysis: A Survey", Medical Image Analysis, vol. 1, 1996, pp. 91-108.
[16] W.N. Martin and J.K. Aggarwal, "Dynamic Scene Analysis: A Survey",
Computer Vision, Graphics and Image Process, vol. 7, 1978, pp. 356-
374.
[17] J. K. Aggarwal and N. Nandhakumar, "On The Computation Of
Motion From Sequences Of Images", Proc. IEEE, Vol. 76, 1988, pp.
917-935.
@article{"International Journal of Information, Control and Computer Sciences:62586", author = "Parvinder S. Sandhu and Iqbaldeep Kaur and Amit Verma and Prateek Gupta", title = "Robust Face Recognition Using Eigen Faces and Karhunen-Loeve Algorithm", abstract = "The current research paper is an implementation of
Eigen Faces and Karhunen-Loeve Algorithm for face recognition.
The designed program works in a manner where a unique
identification number is given to each face under trial. These faces
are kept in a database from where any particular face can be matched
and found out of the available test faces. The Karhunen –Loeve
Algorithm has been implemented to find out the appropriate right
face (with same features) with respect to given input image as test
data image having unique identification number. The procedure
involves usage of Eigen faces for the recognition of faces.", keywords = "Eigen Faces, Karhunen-Loeve Algorithm, FaceRecognition.", volume = "3", number = "4", pages = "1179-6", }
