Face Detection Based on the Theory of Fractal Compression

Article Preview

Abstract:

The face detection has been a very important issue, the use of local and global face similarity between faces can be detected. In this paper, based on fractal image compression theory, we construct a local iterated function systems as a description of the face to detect the face.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1825-1829

Citation:

Online since:

June 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Wohlberg, Brendt, and Gerhard De Jager. A review of the fractal image coding literature., Image Processing, IEEE Transactions on 8. 12 (1999): 1716-1729.

DOI: 10.1109/83.806618

Google Scholar

[2] Zhao Yao, and Baozong Yuan. Image compression using fractals and discrete cosine transform., Electronics letters 30. 6 (1994): 474-474.

DOI: 10.1049/el:19940321

Google Scholar

[3] Barthel, Kai Uwe, and Thomas Voyé. Adaptive fractal image coding in the frequency domain., Proceedings of the International Workshop on Image Processing. Vol. 45. (1994).

Google Scholar

[4] Papageorgiou, Constantine P., Michael Oren, and Tomaso Poggio. A general framework for face detection., Computer vision, 1998. sixth international conference on. IEEE, (1998).

DOI: 10.1109/iccv.1998.710772

Google Scholar

[5] Abate, Andrea F., et al. 2D and 3D face recognition: A survey., Pattern Recognition Letters 28. 14 (2007): 1885-(1906).

DOI: 10.1016/j.patrec.2006.12.018

Google Scholar

[6] Rowley, Henry A., Shumeet Baluja, and Takeo Kanade. Neural network-based face detection., Pattern Analysis and Machine Intelligence, IEEE Transactions on 20. 1 (1998): 23-38.

DOI: 10.1109/34.655647

Google Scholar

[7] Viola, Paul, and Michael Jones. Robust real-time face detection., International Journal of Computer Vision 4 (2001): 34-47.

Google Scholar

[8] Viola, Paul, and Michael Jones. Fast and robust classification using asymmetric adaboost and a detector cascade., Advances in Neural Information Processing Systems 2 (2002): 1311-1318.

Google Scholar

[9] Turk M A, Pentland A P. Eigenface for recognition. Journal of Cognitive Neuroscience, 1991, 3(1): 71−68.

Google Scholar

[10] Luo Yu, Zhi-sheng, and Dongtian Gang DCT-based fast fractal image compression algorithm., Computer Applications 24. B12 (2005): 218-219.

Google Scholar

[11] Zhao Jian, Lei Lei, Pu Xiaoqin fractal theory and its application in signal processing [M] Beijing: Tsinghua University Press, 2008. 61-63.

Google Scholar

[12] Jacquin, Arnaud E. Fractal image coding: a review., Proceedings of the IEEE 81. 10 (1993): 1451-1465.

DOI: 10.1109/5.241507

Google Scholar