ZHOU Quan, Shafiq ur Rehman, ZHOU Yu, WEI Xin, WANG Lei, ZHENG Baoyu. Face Recognition Using Dense SIFT Feature Alignment[J]. Chinese Journal of Electronics, 2016, 25(6): 1034-1039. doi: 10.1049/cje.2016.10.001
Citation: ZHOU Quan, Shafiq ur Rehman, ZHOU Yu, WEI Xin, WANG Lei, ZHENG Baoyu. Face Recognition Using Dense SIFT Feature Alignment[J]. Chinese Journal of Electronics, 2016, 25(6): 1034-1039. doi: 10.1049/cje.2016.10.001

Face Recognition Using Dense SIFT Feature Alignment

doi: 10.1049/cje.2016.10.001
Funds:  This work is supported by the National Natural Science Foundation of China (No.61201164, No.61201165, No.61201326, No.61271240, No.61401228, No.61571240, No.61501253), the State Key Development Program of Basic Research of China (No.2013CB329005), Jiangsu Postdoctoral Program (No.1201014C, No.1501019A), China Postdoctoral Science Foundation (No.2013M531392, No.2015M581841), Specialized Research Fund for the Doctoral Program of Higher Education (No.20113223120002), and University Natural Science Research Project of Jiangsu Province (No.11KJB510016).
  • Received Date: 2015-09-14
  • Rev Recd Date: 2015-12-10
  • Publish Date: 2016-11-10
  • This paper addresses face recognition problem in a more challenging scenario where the training and test samples are both subject to the visual variations of poses, expressions and misalignments. We employ dense Scale-invariant feature transform (SIFT) feature matching as a generic transformation to roughly align training samples; and then identify input facial images via an improved sparse representation model based on the aligned training samples. Compared with previous methods, the extensive experimental results demonstrate the effectiveness of our method for the task of face recognition on three benchmark datasets.
  • loading
  • G. Matheron, Handbook of Face Recognition, Spring, pp.1-30, 2011.
    L. Jun, et al., "Local Gabor dominant direction pattern for face recognition", Chinese Journal of Electronics, Vol.24, No.1, pp.245-250, 2015.
    W. Hao and W. Youkui, "Face recognition using spatially smooth and maximum minimum value of manifold preserving", Chinese Journal of Electronics, Vol.22, No.1, pp.71-75, 2013.
    H. Haifeng, "Face recognition with image sets using locally grassmannian discriminant analysis", IEEE Transactions on Circuits and Systems for Video Technology, Vol.24, No.9, pp.1461-1474, 2014.
    W. Weihong, et al., "Face recognition based on deep learning", Human Centered Computing, Spring, pp.812-820, 2015.
    L. Wolf, et al., "Face recognition in unconstrained videos with matched background similarity", Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp.529-534, 2011.
    C. Qiong, et al., "Similarity metric learning for face recognition", Proc. of IEEE Conference on Computer Vision, pp.2408-2415, 2013.
    W. Shen, et al., "Face identification using reference-based features with message passing model", Neurocomputing, Vol.99, No.6, pp.339-346, 2012.
    R. Tokola, et al., "3D face analysis for demographic biometrics", Proc. of IEEE Conference on Biometrics, pp.201-207, 2015.
    K. Assaleh, et al., "Combined features for face recognition in surveillance conditions", Neural Information Processing, pp.503-514, 2014.
    C. Wang, et al., "Singular value decomposition projection for solving the small sample size problem in face recognition", Journal of Visual Communication and Image Representation, Vol.26, No.6, pp.265-274, 2015.
    X. Ben, et al., "Kernel coupled distance metric learning for gait recognition and face recognition", Neurocomputing, Vol.120, No.7, pp.577-589, 2013.
    X. Ben, et al., "An improved biometrics technique based on metric learning approach", Neurocomputing, Vol.97, No.7, pp.44-51, 2012.
    N. Peter, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.19, No.7, pp.711-720, 1997.
    M. Turk and A. Pentland, "Eigenfaces for recognition", Journal of cognitive neuroscience, Vol.3, No.1, pp.71-86, 191.
    M.S. Bartlett, et al., "Face recognition by independent component analysis", IEEE Transactions on Neuron Network, Vol.13, No.6, pp.1450-1464, 2002.
    B. Du, et al., "Hyperspectral biological images compression based on multiway tensor projection", Proc. of IEEE Conference on Multimedia and Expo, pp.1-6, 2014.
    J. Wright, et al., "Robust face recognition via sparse representation", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.31, No.2, pp.210-227, 2009.
    A. Wagner, et al., "Toward a practical face recognition system: Robust alignment and illumination by sparse representation", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.34, No.2, pp.372-386, 2012.
    Y. Peng, et al., "Rasl: Robust alignment by sparse and low-rank decomposition for linearly correlated images", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.34, No.11, pp.2232-2246, 2012.
    D.G. Lowe, et al., "Distinctive image features from scale invariant keypoints", International Journal of Computer Vision, Vol.60, No.2, pp.91-110, 2004.
    C. Liu, et al., "Sift flow: Dense correspondence across scenes and its applications", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.33, No.5, pp.978-994, 2011.
    A. Bruhn, et al., "Lucas/kanade meets horn/schunck: Combining local and global optic flow methods", International Journal of Computer Vision, Vol.61, No.3, pp.211-231, 2005.
    T. Brox, et al., "High accuracy optical flow estimation based on a theory for warping", Proc. of Europe Conference on Computer Vision, pp.25-36, 2004.
    P.F. Felzenszwalb and D.P. Huttenlocher, "Efficient belief propagation for early vision", International Journal of Computer Vision, Vol.70, No.1, pp.41-54, 2006.
    F.S. Samaria and A. Harter, "Parameterisation of a stochastic model for human face identification", Proc. of IEEE Workshop on Applications of Computer Vision, pp.138-142, 1994.
    S. Boyd and L. Vandenberghe, Convex optimization, Cambridge University Press, London, England, pp.1-326, 2004.
    A.M. Martinez, "The ar face database", CVC Technical Report, 1998.
    K.I. Kim, et al., "Face recognition using kernel principal component analysis", IEEE Signal Processing Letters, Vol.9, No.2, pp.40-42, 2002.
    B. Gary, et al., "Labeled faces in the wild: A database for studying face recognition in unconstrained environments", Technical Report, University of Massachusetts, Amherst, 2007.
    A. Oliva and A. Torralba, "Modeling the shape of the scene: A holistic representation of the spatial envelope", International Journal of Computer Vision, Vol.42, No.3, pp.145-175, 2001.
    J.Y. Ma, et al., "Robust point matching via vector field consensus", IEEE Transactions on Image Processing, Vol.23, No.4, pp.1706-1721, 2014.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (226) PDF downloads(1393) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return