1. Georgia Sandbach, StefanosZafeiriou, MajaPantic and Lijun Yin, “Static and dynamic 3D facial expression recognition: A comprehensive survey,” Elsevier, Image and Vision Computing, vol. 30, pp. 683–697, 2012.
2. Ira Kemelmacher-Shlizerman and Ronen Basri, “3D face reconstruction from a single image using a single reference face shape,” IEEE Transactions on pattern analysis and machine intelligence,vol.33,no. 2, pp.394-405, 2011.
3. Cheng-Jian Lin and Chun-Cheng Peng, “A neural-network-based differential evolution approach for face recognition,”National Chin-Yi University Of Technology, Taiwan.
4. You-We1 Yuan and La-Me1 Yan, “A neural network approach for 3-D face shape reconstruction,”Proceedings of the 1stinternational conference on machine learning and cybernetics, 2002.
5. Niu, B., Shiu, S. C., and Pal, S. K., “A novel 3d face recognition algorithm using template based registration strategy and artificial neural networks,”Pattern recognition and machine intelligence, vol. 3776, pp. 315-317, 2005.
6. Raman Maini and HimanshuAggarwa, “Study and comparison of various image edge detection techniques,” International journal of image processing, vol. 3, no.1, 2006.
7. Bill Green, “Edge Detection Tutorial,” 2002.
8. Hildreth, E. and Marr, D., “Theory of Edge Detection,” 2013.
9. Kruger, R.P., Dwyer, S.J., Hall, D.L., Mclaren, R.W. and Lodwick, G.S, “A survey of preprocessing and feature extraction techniques for radiographic images,”IEEE Transactions on computers, vol. 20, no. 9, pp. 1032-1044, 1971.