• Infrared and Laser Engineering
  • Vol. 44, Issue 1, 391 (2015)
Xie Zhihua* and Liu Guodong
Author Affiliations
  • [in Chinese]
  • show less
    DOI: Cite this Article
    Xie Zhihua, Liu Guodong. Infrared face recognition based on co-occurrence histogram of multi-scale local binary patterns[J]. Infrared and Laser Engineering, 2015, 44(1): 391 Copy Citation Text show less
    References

    [1] Wu S Q, Li W S, Xie S L. Skin heat transfer model of facial thermograms and its application in face recognition [J]. Pattern Recognition, 2008, 41(8): 2718 -2729.

    [2] Li J, Yu D W, Kuang G. The research on face recognition approaches of infrared imagery[J]. Journal of National University of Defense Technology, 2006, 28(2): 73-76.

    [3] Wu S Q, Fang Z J, Xie Z H, et al. Recent advances in face recognition[M]. Croatia: IN-TECH press, 2008, 184-206.

    [4] Hermosilla G. A comparative study of thermal face recognition methods in unconstrained environments [J]. Pattern Recognition, 2012, 45(7): 2445-2459.

    [5] Li Stan Z, Chu Rufeng, Cai Liaosheng, et al. Illumination invariant face recognition using near-infrared images [J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2007, 29(12): 627-639.

    [6] Hua S G, Zhou Y, Liu T. PCA+LDA Based thermal infrared imaging face recognition [J]. Pattern Recognition and Artificial Intelligence, 2008, 21(2): 160-164.

    [7] Ahonen T, Hadid A, Pietik inen M. Face description with local binary patterns: application to face recognition [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 2006, 18(12): 2037-2041.

    [8] Ojala T, Pietik inen M. Multi-resolution, gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2002, 24(7): 971-987.

    [9] Zhang Baochang, Shan Shiguang, Gao Wen. Histogram of gabor phase patterns (HGPP): a novel object representation approach for face recognition[J]. IEEE Trans on Image Processing, 2007, 16(1): 57-68.

    [10] Xie Zhihua, Liu Guodong. Fast infrared face recognition based on local binary pattern[J]. Infrared and Laser Engineering, 2013, 42(12): 3190-3195.

    [11] Liao Shu, Chung Albert C S. Face recognition with salient local gradient orientation binary pattern[C]//In Proceedings of 2009 International Conference on Image Processing (ICIP2009), 2009: 3317-3320.

    [12] Taskeed Jabid, Md Hasanul Kabir, Oksam Chae. Gender classification using local directional pattern(LDP) [C]// 2010 International Conference on Pattern Recognition(ICPR2010), 2010: 2162-2164.

    [13] Timo Ojala, Matti Pietikainen, Topi Maenpaa. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 2002, 7(7): 971-987.

    [14] Zheng Yongbin, Shen Chunhua, Hartley Richard. Pyramid center-symmetric local binary/trinary patterns for effective pedestrian detection[C]//In Proceedings of 2010 Asian Conference on Computer Vision (ACCV 2010), 2010: 281-292.

    [15] Tan Xiaoyang, Triggs B. Enhanced local texture feature sets for face recognition under difficult lighting conditions[J]. IEEE Transactions on Image Processing, 2010, 19(6): 1635-1650.

    [16] Fu Xiaofeng, Wei Wei. Facial expression recognition based on advance local binary pattern histogram projection[J]. Pattern Recognition and Artificial Intelligence, 2009, 22(1): 123-128.

    [17] Liao S, Law M, Chung C S. Dominant local binary patterns for texture[J]. IEEE Transactions on Image Processing, 2009, 18(5): 1107-1118.

    [18] Song C, Sun Y, Yin B. Adaptively doubly weighted sub-pattern LGBP for eyeglasses-face recognition[J]. Journal of Computational Information Systems, 2010, 6(4): 1135-1142.

    [19] Heikkila M, Schmid C. Description of interest regions with local binary patterns[J]. Pattern Recogntion, 2009, 42(3): 425-436.

    [20] Watanabe T, Ito S, Yokoi K. Co-occurrence histograms of oriented gradients for pedestrian detection[C]//Proc the 3rd IEEE Pacific-Rim Symposium on Image and Video Technology, 2009: 37-47.

    [21] Ryusuke Nosaka, Yasuhiro Ohkawa, Kazuhiro Fukui. Feature extraction based on Co-occurrence of adjacent local binary patterns [C]//PSIVT, 2011, LNCS 7088: 82-91.

    [22] Qi Xianbiao, Lu Yi, Chen Shifeng. Spatial co-occurrence of local intensity order for face recognition[C]//2013 IEEE International Conference on Multimedia and Expo Workshops (ICME),2013:1-6.

    CLP Journals

    [1] Mianrong Yang, Liping Niu. Zernike’s feature selection based on LGBM and identification methods of infrared image target[J]. Infrared and Laser Engineering, 2022, 51(4): 20210309

    [2] Huichuan Liao, Haixia Zhao. Infrared image target recognition method based on decision fusion of classifiers[J]. Infrared and Laser Engineering, 2022, 51(8): 20210725

    [3] Guojun Shi. Target recognition method of infrared imagery via joint representation of deep features[J]. Infrared and Laser Engineering, 2021, 50(3): 20200399

    [4] Yazhi Yang, Jun Li. Research on monogenic signal of application in infrared imagery target classification[J]. Infrared and Laser Engineering, 2021, 50(12): 20210165

    [5] Shasha Liao. Infrared image target recognition method based on selected deep features[J]. Infrared and Laser Engineering, 2022, 51(5): 20210372

    [6] Pengxiang Wang, Zhaoji Zhang, Huai Yang. Target classification method in infrared images via combination of multi-feature fusion and extreme learning machine[J]. Infrared and Laser Engineering, 2022, 51(6): 20210597

    [7] Lu Zhao, Sen Xiong. Target recognition based on multi-view infrared images[J]. Infrared and Laser Engineering, 2021, 50(11): 20210206

    Xie Zhihua, Liu Guodong. Infrared face recognition based on co-occurrence histogram of multi-scale local binary patterns[J]. Infrared and Laser Engineering, 2015, 44(1): 391
    Download Citation