Integrating the Maximum Line Gradient Value Improvement and the Level Set Method Variation to Detect Face Sketch Multi-Features
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Arif Muntasa, Mochamad Hariadi., Mauridhi Hery Purnomo, (2008), "Maximum Feature Value Selection Of Nonlinear Function Based On Kernel Pca For Face Recognition", Proceeding of The 4th Conferrence On Information & Communication Technology and Systems, Surabaya, Indonesia, pp 397-402.
Arif Muntasa, Mochamad Hariadi., Mauridhi Hery Purnomo, (2009), “A New Formulation of Face Sketch Multiple Features Detection Using Pyramid Parameter Model and Simultaneously Landmark Movement”, IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.9.
Lu J., Plataniotis K.N. , and Venetsanopoulos A.N., (2003), “Face Recognition Using Kernel Direct Discriminant Analysis Algorithms”, IEEE Trans. Neural Networks, vol. 14, no. 1, pp. 117-126.
Su, H., Feng D., and Zhao R.-C. (2002), “Face Recognition Using Multi-feature and Radial Basis Function Network”, Proc. of the Pan-Sydney Area Workshop on Visual Information Processing, Sydney, Australia, pp. 183-189.
Xiaofei He, Shuicheng Yan, Yuxiao Hu, Partha Niyogi, and Hong-Jiang Zhang, (2005), "Face Recognition Using Laplacianfaces", Ieee Transactions On Pattern Analysis And Machine Intelligence, VOL. 27, NO.3 pp.328-340.
D. Cristinacce and T.F. Cootes, (2003), "Facial Feature Detection using ADABOOST with Shape Constraints", Proc.BMVC, Vol.1, pp.231-240.
D. Cristinacce, T.F. Cootes and I. Scott, (2004), "A Multistage Approach to Facial Feature Detection", Proc. British Machine Vision Conference, Vol.1, pp.277-286.
D. Cristinacce and T.F. Cootes, (2003), "A Comparison of two Real-Time Face Detection Methods" Proc. 4th IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, pp 1-8, Graz, Austria.
D. Cristinacce and T.F. Cootes, (2006), "Facial Feature Detection and Tracking with Automatic Template Selection", Proc. 7th IEEE International Conference on Automatic Face and Gesture Recognition, pp. 429-434.
D. Cristinacce and T.F.Cootes, (2006), "Feature Detection and Tracking with Constrained Local Models", Proc. British Machine Vision Conference, Vol. 3, pp.929-938.
R.G. Uhl and N.d.V. Lobo, (1996), "A Framework for Recognizing a Facial Image from A Police Sketch," Proceedings of CVPR, pp. 586-593.
L. Wiskott, J.M. Fellous, N. Kruger and C. von der Malsburg, (1997), "Face Recognition by Elastic Bunch Graph Matching," IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 19, No.7, pp. 775- 779
Xiaoou Tang and Xiaogang Wang (2004), “Face Sketch Recognition”, IEEE Transactions on Circuits and Systems for Video Technology, Vol. 14, No. 1, pp 50-57.
Turk, M., & Pentland, A., (1991), “Eigenfaces for recognition”, Journal of Cognitive Neuroscience, 3(1), 71-86.
Bartlett, M. S., Movellan, J. R., & Sejnowski, T. J. (2002), “Face recognition by independent component analysis”, IEEE Trans. on Neural Networks, 13(6), 1450-1464.
Elham Bagherian, Rahmita.Wirza.Rahmat and Nur Izura Udzir, (2009), “Extract of Facial Feature Point”, IJCSNS International Journal of Computer Science and Network Security, VOL.9 No.1, pp 49-53.
Chunming Li, Chenyang Xu, Changfeng Gui, and Martin D. Fox, "Level Set Evolution Without Re-initialization: A New Variational Formulation", Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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