1. Alhwarin, F., Wang, C.C., Ristić-Durrant, D., Gräser, A.: Improved sift-features matching for object recognition. In: BCS International Academic Conference (2008)
2. Clark, J., Trucco, E., Wolff, L.B.: Using light polarization in laser scanning. Image Vis. Comput. 15(2), 107–117 (1997)
3. Jones, B.F., Fairney, P.: Recognition of shiny dielectric objects by analysing the polarization of reflected light. Image Vis. Comput. 7(4), 253–258 (1989)
4. Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Pereira, F., Burges, C.J.C., Bottou, L., Weinberger, K.Q. (eds.) Advances in Neural Information Processing Systems, vol. 25, pp. 1097–1105. Curran Associates, Inc. (2012). http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf
5. Luo, Q., Fang, X., Liu, L., Yang, C., Sun, Y.: Automated visual defect detection for flat steel surface: a survey. IEEE Trans. Instrum. Measure. 69, 626–644 (2020)