Abstract
Due to low resolutions of infrared face image, the local feature extraction is more appreciated for infrared face feature extraction. In the current LBP (local binary pattern) feature extraction on infrared face recognition, single scale is encoded, which consider limited local discriminative information. A new infrared face recognition method based on joint encoding of multi-scale LBP (JEMLBP) is proposed in this paper. To consider correlation in different micro-structures, co-occurrence matrix of multi-scale LBP codes is used to represent the infrared face. The experimental results show the recognition rates of infrared face recognition method based on JEMLBP can reach 91.2% under variable ambient temperatures, outperforms that of the classic method based on single scale LBP histogram.
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References
Wu, S.Q., Li, W.S., Xie, S.L.: Skin heat transfer model of facial thermograms and its application in face recognition. Pattern Recognition 41(8), 2718–2729 (2008)
Li, J., Yu, D.W., Kuang, G.: The Research on Face Recognition Approaches of Infrared Imagery. Journal of National University of Defense Technology 28(2), 73–76 (2006)
Hermosilla, G.: A Comparative Study of Thermal Face Recognition Methods in Unconstrained Environments. Pattern Recognition 45(7), 2445–2459 (2012)
Li, S.Z., Chu, R., Sheng, C.L.: Illumination Invariant Face Recognition Using Near-Infrared Images. IEEE Trans. on Pattern Analysis and Machine Intelligence 29(12), 627–639 (2007)
Ahonen, T., Hadid, A., Pietikäinen, M.: Face description with local binary patterns: application to face recognition. IEEE Trans Pattern Analysis and Machine Intelligence 18(12), 2037–2041 (2006)
Hua, S.G., Zhou, Y., Liu, T.: PCA+LDA Based Thermal Infrared Imaging Face Recognition. Pattern Recognition and Artificial Intelligence 21(2), 160–164 (2008)
Xie, Z., Zeng, J., Liu, G., et al.: A novel infrared face recognition based on local binary pattern. In: Proceedings of 2011 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), pp. 55–59 (2011)
Li, W., Fritz, M.: Recognizing materials from virtual examples. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part IV. LNCS, vol. 7575, pp. 345–358. Springer, Heidelberg (2012)
Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans Pattern Analysis and Machine Intelligence 7(7), 971–987 (2002)
Heikkila, M., Schmid, C.: Description of interest regions with local binary patterns. Pattern Recogntion 42(3), 425–436 (2009)
Nosaka, R., Ohkawa, Y., Fukui, K.: Feature Extraction Based on Co-occurrence of Adjacent Local Binary Patterns. In: Ho, Y.-S. (ed.) PSIVT 2011, Part II. LNCS, vol. 7088, pp. 82–91. Springer, Heidelberg (2011)
Qi, X., Lu, Y., Chen, S.: Spatial co-occurrence of local intensity order for face recognition. In: Proceedings of 2013 IEEE International Conference on Multimedia and Expo Workshops (ICME), pp. 1–6 (2013)
Liao, S., Chung, A.C.S.: Face Recognition with Salient Local Gradient Orientation Binary Pattern. In: Proceedings of 2009 International Conference on Image Processing (ICIP 2009), pp. 3317–3320 (2009)
Jabid, T., Kabir, M.H., Chae, O.: Gender Classification using Local Directional Pattern (LDP). In: Proceedings of 2010 International Conference on Pattern Recognition (ICPR 2010), pp. 2162–2164 (2010)
Zheng, Y., Shen, C., Hartley, R., Huang, X.: Pyramid Center-symmetric Local Binary/trinary Patterns for Effective Pedestrian Detection. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part IV. LNCS, vol. 6495, pp. 281–292. Springer, Heidelberg (2011)
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Xie, Z., Wang, Z. (2015). Joint Encoding of Multi-scale LBP for Infrared Face Recognition. In: Sun, H., Yang, CY., Lin, CW., Pan, JS., Snasel, V., Abraham, A. (eds) Genetic and Evolutionary Computing. Advances in Intelligent Systems and Computing, vol 329. Springer, Cham. https://doi.org/10.1007/978-3-319-12286-1_27
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DOI: https://doi.org/10.1007/978-3-319-12286-1_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-12285-4
Online ISBN: 978-3-319-12286-1
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