3D face recognition for partial data using Semi-Coupled Dictionary Learning

3D face recognition for partial data is a very challenging task. The task is even more challenging when the gallery sample originates from one side of the face while the probe sample originates from the other. We present a new method for computing the similarity of partial 3D data for the purpose of face recognition. This method improves upon an existing Semi-Coupled Dictionary Learning method by computing a jointly-optimized solution that incorporates the reconstruction cost, the discrimination cost and the semi-coupling cost. Our experiments demonstrate that this method can improve the recognition performance of existing state-of-the-art wavelet signatures used for 3D face recognition.

[1]  Liming Chen,et al.  Expression robust 3D face recognition via mesh-based histograms of multiple order surface differential quantities , 2011, 2011 18th IEEE International Conference on Image Processing.

[2]  Paul Suetens,et al.  Symmetric surface-feature based 3D face recognition for partial data , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[3]  David Salesin,et al.  Wavelets for computer graphics: theory and applications , 1996 .

[4]  Quan Pan,et al.  Semi-coupled dictionary learning with applications to image super-resolution and photo-sketch synthesis , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[5]  Ioannis A. Kakadiaris,et al.  Using Facial Symmetry to Handle Pose Variations in Real-World 3D Face Recognition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Patrick J. Flynn,et al.  Overview of the face recognition grand challenge , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[7]  Baoxin Li,et al.  A compressive sensing approach for expression-invariant face recognition , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Baoxin Li,et al.  Discriminative K-SVD for dictionary learning in face recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[9]  Junying Gan,et al.  An over-complete sparse representation approach for face recognition under partial occlusion , 2011, Proceedings 2011 International Conference on System Science and Engineering.

[10]  Michael Elad,et al.  K-SVD and its non-negative variant for dictionary design , 2005, SPIE Optics + Photonics.

[11]  Baoxin Li,et al.  A compressive sensing approach for expression-invariant face recognition , 2009, CVPR.

[12]  Aly A. Farag,et al.  Model-based 3D shape recovery from single images of unknown pose and illumination using a small number of feature points , 2011, 2011 International Joint Conference on Biometrics (IJCB).

[13]  Steven J. Gortler,et al.  Geometry images , 2002, SIGGRAPH.

[14]  Larry S. Davis,et al.  Learning a discriminative dictionary for sparse coding via label consistent K-SVD , 2011, CVPR 2011.

[15]  Alice J. O'Toole,et al.  FRVT 2006 and ICE 2006 large-scale results , 2007 .

[16]  Hassen Drira,et al.  SHREC '11 Track: 3D Face Models Retrieval , 2011, 3DOR@Eurographics.

[17]  Thomas S. Huang,et al.  Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.

[18]  Patrick Siarry,et al.  Enhanced simulated annealing for globally minimizing functions of many-continuous variables , 1997, TOMS.

[19]  Shengcai Liao,et al.  Partial Face Recognition: Alignment-Free Approach , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[20]  Ioannis A. Kakadiaris,et al.  Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  David G. Lowe,et al.  Object recognition from local scale-invariant features , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[22]  Paul Suetens,et al.  Feature detection on 3D face surfaces for pose normalisation and recognition , 2010, 2010 Fourth IEEE International Conference on Biometrics: Theory, Applications and Systems (BTAS).

[23]  Masahide Kaneko,et al.  Robust Face Recognition Using Block-Based Bag of Words , 2010, 2010 20th International Conference on Pattern Recognition.

[24]  Guillermo Sapiro,et al.  Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..

[25]  Alice J. O'Toole,et al.  FRVT 2006 and ICE 2006 Large-Scale Experimental Results , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[26]  Ioannis A. Kakadiaris,et al.  3D Face Discriminant Analysis Using Gauss-Markov Posterior Marginals , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.