Acta Optica Sinica, Volume. 39, Issue 7, 0715005(2019)

Pose Invariant Face Recognition Using Maximum Gabor Similarity Based on Lucas-Kanade Algorithm

Chao Cheng1,2, Feipeng Da1,2, Chenxing Wang1,2、*, and Changjin Jiang1,2
Author Affiliations
  • 1 School of Automation, Southeast University, Nanjing, Jiangsu 210096, China
  • 2 Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Southeast University, Nanjing, Jiangsu 210096, China
  • show less
    References(15)

    [2] Tang H, Yin B, Sun Y. et al. Pose-invariant face recognition based on a single view[J]. Journal of Information and Computer Science, 7, 2369-2379(2010).

    [4] Chai X J, Shan S G, Chen X L et al. Local linear regression (LLR) for pose invariant face recognition. [C]∥7th International Conference on Automatic Face and Gesture Recognition (FGR06), April 10-12, 2006, Southampton, UK. New York: IEEE, 631-636(2006).

    [5] Ashraf A B, Lucey S, Chen T. Learning patch correspondences for improved viewpoint invariant face recognition. [C]∥2008 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2008, Anchorage, AK, USA. New York: IEEE, 4587754(2008).

    [7] Li J, Zhao J, Zhao F. et al. Robust face recognition with deep multi-view representation learning. [C]∥Proceedings of the 24th ACM International Conference on Multimedia, October 15-19, 2016, Amsterdam, Netherlands. New York: ACM, 1068-1072(2016).

    [8] Yim J, Jung H, Yoo B et al. Rotating your face using multi-task deep neural network. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 676-684(2015).

    [9] Peng X, Yu X, Sohn K et al. Reconstruction-based disentanglement for pose-invariant face recognition. [C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy. New York: IEEE, 1632-1641(2017).

    [11] Lucas B D, Kanade T. An iterative image registration technique with an application to stereo vision. [C]∥Proceedings of 7th International Joint Conference on Artificial Intelligence, August 24-28, 1981, Vancouver, British Columbia. San Francisco: Margan Kaufmann Publishers Inc., 674-679(1981).

    [12] Ashraf A B, Lucey S, Chen T. Fast image alignment in the Fourier domain. [C]∥2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, San Francisco, CA, USA. New York: IEEE, 2480-2487(2010).

    [13] Zhang W C, Shan S G, Gao W et al. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition. [C]∥Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, October 17-21, 2005, Beijing, China. New York: IEEE, 786-791(2005).

    Tools

    Get Citation

    Copy Citation Text

    Chao Cheng, Feipeng Da, Chenxing Wang, Changjin Jiang. Pose Invariant Face Recognition Using Maximum Gabor Similarity Based on Lucas-Kanade Algorithm[J]. Acta Optica Sinica, 2019, 39(7): 0715005

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Dec. 12, 2018

    Accepted: Apr. 1, 2019

    Published Online: Jul. 16, 2019

    The Author Email: Wang Chenxing (cxwang@seu.edu.cn)

    DOI:10.3788/AOS201939.0715005

    Topics