Two-dimensional LDA approach to image compression and recognition

• Autorzy: Kukharev G. , Forczmański P.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a novel method of reducing the dimensionality of large datasets (e.g. human faces databases). It does not incorporate any usual pre-processing stage (like down-scaling or filtering). Its main advantage is associated with efficient representation of images leading to the accurate recognition. The reduction is realized by modified Linear Discriminant Analysis. In the paper, the authors present its mathematical principles together with some results of practical recognition experiments on popular facial databases (ORL, BioID).

Słowa kluczowe

EN

image recognition; image compression; dimensionality reduction; linear discriminant analysis

PL

rozpoznawanie obrazu; kompresja obrazu; redukcja wymiaru; liniowa analiza dyskryminacji

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Computing, Multimedia and Intelligent Techniques
• Rocznik: 2006
• Tom: Vol. 2, nr 1
• Strony: 45--53
• Opis fizyczny: Bibliogr. 12 poz., rys., tab.

Twórcy

autor

Kukharev G.

autor

Forczmański P.

• Szczecin University of Technology, Faculty of Computer Science and Information Systems, ul. Żołnierska 49, 71-210 Szczecin, Poland,

Bibliografia

• [1] The ORL Database of Faces, http://www.uk.research.att.com/facedatabase.html, AT&T Laboratories Cambridge.
• [2] D. L. Swets, J. Weng, Using Discriminant Eigenfeatures for Image Retrieval, IEEE Trans. Pattern Analysis and Machine Intelligence, 18, 831-836, 1996.
• [3] D. L. Swets, J. Weng, Hierarchical Discriminant Analysis for Image Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, 21,5, 386-401, 1999.
• [4] G. Kukharev, P. Forczmański, Hierarchical Method of Reduction of Features Dimensionality for Image Recognition and Graphical Data Retrieval, Proceedings of Sixth International Conference Pattern Recognition and Information Processing, Minsk, Belarus, May 2001, 19-34.
• [5] G. Kukharev, P. Forczmański, Data Dimensionality Reduction for Face Recognition, Machine Graphics and Vision, 13, 1/2, 2004.
• [6] X.Y. Jing, Y.Y. Tang, D. Zhang, A Fourier-LDA approach for image recognition, Pattern Recognition, 38, 453-457, 2005.
• [7] Z. M. Hafed, M. D. Levine, Face Recognition Using the Discrete Cosine Transform, International Journal of Computer Vision, 2001.
• [8] S. Annadurai, A. Saradha, Discrete Cosine Transform Based Face Recognition Using Linear Discriminant Analysis, IJSIT Lecture Note of International Conference on Intelligent Knowledge Systems, August 2004, 1, 1.
• [9] N. Tsapatsoulis, V. Alexopoulos, S. Kollias, A Vector Based Approximation of KLT and Its Application to Face Recognition, Proc. IX European Signal Processing Conference EUSIPCO-98, Rhodos Palace, Island of Rhodes, Greece, September 1998.
• [10] The BioID Face Database, http://www.humanscan.com/support/downloads/facedb.php, HumanScan AG.
• [11] G. Kukharev, P. Forczmański, Face Recognition by Means of Two-Dimensional Direct Linear Discriminant Analysis, Proceedings of 8th International Conferrence on Pattern Recognition and Information Processing, Minsk, Belarus, May 18-20, 2005.
• [12] K. Fukunaga, Introduction to Statistical Pattern Recognition, 2nd ed., Academic Press, New York 1990.