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山东大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (3): 31-36.doi: 10.6040/j.issn.1672-3961.0.2015.279

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基于流形的约束局部模型拟合

刘大琨,谭晓阳   

  1. 南京航空航天大学计算机科学与技术学院, 江苏 南京 211106
  • 收稿日期:2015-08-19 出版日期:2016-06-30 发布日期:2015-08-19
  • 作者简介:刘大琨(1984— ),男,山东青岛人,博士研究生,主要研究方向为机器学习、模式识别、计算机视觉. E-mail:liudakun315@nuaa.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(61073112,61373060);江苏省自然科学基金资助项目(BK2012793,20150527);教育部博士点基金资助项目(RFDP)(20123218110033)镇江市科技计划资助项目(SH2014017)

Fitting of constrained local model based on manifold

LIU Dakun, TAN Xiaoyang   

  1. College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, Jiangsu, China
  • Received:2015-08-19 Online:2016-06-30 Published:2015-08-19

摘要: 为了将人脸形状向量集的流形结构嵌入到人脸定位模型中,以人脸定位参数模型中典型的约束局部模型为基础展开研究。结合局部坐标编码理论和稀疏约束,将基于流形结构的邻近形状向量集代替点分布模型中的非刚性形变集,实现了流形学习中的局部切空间排列方法与点分布模型的融合,从而得到了一个流形嵌入的约束局部模型。经过在模拟数据、有标注的人脸部件数据库和有标注的人脸数据库的试验验证,与基于线性重建的局部约束模型拟合相比,嵌入流形结构的约束局部模型具有更好的性能。

关键词: 人脸对齐, 有约束局部模型, 局部切空间排列

Abstract: For the sake of embedding the manifold of face shape vectors into the models of face alignment efficiently, the research was carried out based on the typical constraint local model in the face location parameter model. According to the theorem of local coordinate coding and sparse constrain, the non-rigid deformations were replaced by the adjacent facial shape vectors which were based on manifold of facial shapes. The local tangent space alignment in manifold learning was mixed with the point distribution model, and a manifold embedded constrained local model was derived. The experimental verification on the toyed dataset and two public facial databases(i.e. labeled face parts in the wild and labeled face in the wild)were fulfilled. Compared with linear reconstruction based on constrained local model method fitting, the manifold embedded constrained local model method had better accuracy.

Key words: local tangent space alignment, constrained local model, face alignment

中图分类号: 

  • TP130
[1] 杜吉祥, 余庆, 翟传敏. 基于稀疏性约束非负矩阵分解的人脸年龄估计方法[J]. 山东大学学报(理学版), 2010, 45(7):65-69. DU Jixiang, YU Qing, ZHAI Chuanmin. Age estimation of facial image based on non-negative matrix factorization with sparseness constraints[J]. Journal of Shandong University(Nature Science), 2010, 45(7):65-69.
[2] 夏海英, 杜海明, 徐鲁辉, 等. 基于自适应词典学习和稀疏表示的人脸表情识别[J]. 山东大学学报(工学版),2014,44(1):45-48. XIA Haiying, DU Haiming, XU Luhui, et al. Facial expression recognition based on adaptive dictionary learning and spares representation[J]. Journal of Shandong University(Engineering Science), 2014, 44(1):45-48.
[3] SARAGIH J M, LUCEY S, COHN J F, et al. Deformable model fitting by regularized landmark mean-shift[J]. International Journal of Computer Vision, 2011, 91(2): 200-215.
[4] COOTES T F, TAYLOR C J, COOPER D H, et al. Active shape models-their training and application[J]. Computer Vision and Image Understanding, 1995, 61(1):38-59.
[5] JOLLIFFE I. Principal component analysis[M]. New York:John Wiley & Sons, Ltd., 2002.
[6] CRISTINACCE D, COOTES T F. Feature detection and tracking with constrained local models[C] //Proceedings of the 17th British Machine Vision Conference.Edinburgh: BMVC, 2006: 929-938.
[7] MARTINS P, CASEIRO R, HENRIQUES J F. Likelihood-enhanced Bayesian constrained local models[C] //Proceedings of the 21st IEEE International Conference on Image Processing.Paris: ICIP, 2014: 303-307.
[8] ASTHANA A, ZAFEIROU S, CHENG S. Robust discriminative response map fitting with constrained local models[C] //Proceedings of the 26th IEEE Conference on Computer Vision and Pattern Recognition. Columbus: CVPR, 2013:3444-3451.
[9] BELHUMEUR P N, JACOBS D W, KRIEGMAN D J. Localizing parts of faces using a consensus of exemplars[J]. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2013, 35(12): 2930-2940.
[10] CAO X, WEI Y, WEN F. Face alignment by explicit shape regression[J]. International Journal of Computer Vision, 2014, 107(2):177-190.
[11] YU K, ZHANG T, GONG Y. Nonlinear learning using local coordinate coding[C] //Proceedings of the 22nd Advances in neural information processing systems. Vancouver: NIPS, 2009:2223-2231.
[12] 杜世强, 石玉清, 王维兰, 等. 基于流形正则化判别的因子分解[J]. 山东大学学报(理学版), 2013, 48(5):63-69. DU Shiqiang, SHI Yuqing, WANG Weilan, et al. Manifold regularized-based discriminant concept factorization[J]. Journal of Shandong University(Nature Science), 2013, 48(5):63-69.
[13] KASINSKI A, FLOREK A, SCHMIDT A. The PUT face database[J]. Image Processing and Communications, 2008, 13(3-4): 59-64.
[14] TENENBAUM J B, DE Silva V, LANGFORD J C. A global geometric framework for nonlinear dimensionality reduction[J]. Science, 2000, 290(5500): 2319-2323.
[15] ZHANG Z, ZHA H. Principal manifolds and nonlinear dimensionality reduction via tangent space alignment[J]. Journal of Shanghai University:English Edition, 2004, 8(4): 406-424.
[16] HUANG G B, RAMESH M, BERG T. Labeled faces in the wild: a database for studying face recognition in unconstrained environments[R]. Amherst, USA: University of Massachusetts, 2007: 7-49.
[17] DANTONE M, GALL J, FANELLI G. Real-time facial feature detection using conditional regression forests[C] //Proceedings of the 25th IEEE Conference on Computer Vision and Pattern Recognition. Rhode Island, USA: CVPR, 2012: 2578-2585.
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