An efficient 3D face recognition approach using local geometrical signatures

Pattern Recognition

Volumn 47, Issue 2, 2014, Pages 509-524

  Lei, Yinjie ^a,b   Bennamoun, Mohammed ^b   Hayat, Munawar ^b   Guo, Yulan ^b,c  

^a SICHUAN UNIVERSITY   (China)

^b UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

^c NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

Author keywords

3D biometrics; 3D face recognition; 3D representation; KPCA; SVM

Indexed keywords

3D FACE RECOGNITION; 3D REPRESENTATIONS; COMPUTATIONALLY EFFICIENT; EXPRESSION VARIATIONS; FACE RECOGNITION GRAND CHALLENGES; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); KPCA; SVM;

BIOMETRICS; COMPUTATIONAL EFFICIENCY; EXPERIMENTS; IMAGE RETRIEVAL; PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES; THREE DIMENSIONAL;

FACE RECOGNITION;

EID: 84887016962     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2013.07.018     Document Type: Article

References (43)

1. W. Zhao, R. Chellappa, P. Philips, and A. Rosenfeld Face recognition a literature survey ACM Computing Surveys 35 4 2003 399 458
2. A. Abate, M. Nappi, D. Riccio, and G. Sabatino 2D and 3D face recognition a survey Pattern Recognition Letters 28 14 2007 1885 1906
3. C. Xu, Y. Wang, T. Tan, L. Quan, Depth vs. Intensity: which is more important for face recognition?, in: International Conference on Pattern Recognition, vol. 4, 2004, pp. 342-345.
4. K. Bowyer, K. Chang, and P. Flynn A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition Computer Vision and Image Understanding 101 1 2006 1 15
5. P. Besl, and N. Mckay Reconstruction of real-world objects via simultaneous registration and robust combination of multiple range images IEEE Transactions on Pattern Analysis and Machine Intelligence 14 2 1992 239 256
6. K. Chang, K. Bowyer, and P. Flynn Multiple nose region matching for 3D face recognition under varying facial expression IEEE Transactions on Pattern Analysis and Machine Intelligence 28 10 2006 1695 1700
7. C. Faltemier, K. Bowyer, and P. Flynn A region ensemble for 3D face recognition IEEE Transactions on Information Forensics and Security 13 1 2008 62 73
8. R. Sablatnig, and M. Kampel Model-based registration of front- and backviews of rotationally symmetric objects Computer Vision and Image Understanding 87 1-3 2002 90 103
9. A. Mian, M. Bennamoun, and R. Owens An efficient multimodal 2D and 3D hybrid approach to automatic face recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 29 11 2007 1927 1943
10. F. Al-Osaimi, M. Bennamoun, and A. Mian Integration of local and global geometrical cues for 3D face recognition Pattern Recognition 41 3 2008 1030 1040
11. Y. Wang, J. Liu, and X. Tang Robust 3D face recognition by local shape difference boosting IEEE Transactions on Pattern Analysis and Machine Intelligence 32 10 2010 1858 1870
12. Y. Lei, M. Bennamoun, and A. El-Sallam An efficient 3D face recognition approach based on the fusion of novel local low-level features Pattern Recognition 46 1 2013 24 37
13. Y. Guo, F. Sohel, M. Bennamoun, M. Lu, J. Wan, Rotational projection statistics for 3D local surface description and object recognition, International Journal of Computer Vision. 105 (1) (2013) 63-86.
14. A. Mian, M. Bennamoun, and R. Owens Keypoint detection and local feature matching for textured 3D face recognition International Journal on Computer Vision 79 1 2007 1 12
15. S. Berretti, A. Del Bimbo, and P. Pala 3D face recognition using isogeodesic stripes IEEE Transactions on Pattern Analysis and Machine Intelligence 32 12 2010 2162 2177
16. L. Ballihi, B. Ben Amor, M. Daoudi, A. Srivastava, and D. Aboutajdine Boosting 3D-geometric features for efficient face recognition and gender classification IEEE Transactions on Information Forensics and Security 7 6 2012 1766 1779
17. I. Kakadiaris, G. Passalis, G. Toderici, N. Murtuza, and T. Theoharis Three-dimensional face recognition in the presence of facial expression an annotated deformable model approach IEEE Transactions on Pattern Analysis and Machine Intelligence 29 4 2007 640 649
18. X. Lu, and A. Jain Deformation modeling for robust 3D face matching IEEE Transactions on Pattern Analysis and Machine Intelligence 30 8 2008 1346 1357
19. F. Al-Osaimi, M. Bennamoun, and A. Mian An expression deformation approach to non-rigid 3D face recognition International Journal of Computer Vision 81 3 2009 302 316
20. C. Zhong, Z. Sun, T. Tan, Robust 3D face recognition using learned visual codebook, in: IEEE Conference on Computer Vision and Pattern Recognition, 2007, pp. 1-6.
21. X. Lu, D. Colbry, A. Jain, Three-dimensional model based face recognition, in: International Conference on Pattern Recognition, vol. 1, 2004, pp. 362-366.
22. S. Gupta, M. Markey, and A. Bovik Anthropometric 3D face recognition International Journal of Computer Vision 90 3 2010 331 349
23. Y. Sun, X. Chen, M. Rosato, and L. Yin An evaluation of multi-model 2D+3D bimetrics Man and Cybernetics, Part A Systems and Humans 40 3 2010 461 474
24. C. Xu, S. Li, and L. Tan Automatic 3D face recognition from depth and intensity Gabor features Pattern Recognition 42 9 2009 1895 1905
25. P. Phillips, P. Flynn, T. Scruggs, K. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, W. Worek, Overview of the face recognition grand challenge, in: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, IEEE, 2005, pp. 947-954.
26. L. Yin, Z. Wei, Y. Sun, J. Wang, M. Rosato, A 3D facial expression database for facial behavior research, in: International Conference on Automatic Face and Gesture Recognition, 2006, pp. 211-216.
27. X. Peng, M. Bennamoun, and A. Mian A training-free nose tip detection method from face range images Pattern Recognition 44 3 2011 544 558
28. C. Liu, and H. Wechsler Independent component analysis of Gabor features for face recognition IEEE Transactions on Neural Networks 14 4 2003 919 928
29. H. Mohammadzade, and D. Hatzinakos Iterative closest normal point for 3D face recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 35 2 2012 381 397
30. F. Al-Osaimi, M. Bennamoun, and A. Mian Spatially optimized data-Level fusion of texture and shape for face recognition IEEE Transactions on Image Processing 21 2 2012 859 872
31. F. ter Haar, and R. Veltkamp A 3D face matching framework for facial curves Graphical Models 71 2 2009 77 91
32. S. Haykin Neural Networks A Comprehensive Foundation 2nd edition 1999 Prentice Hall
33. K. Chang, K. Bowyer, P. Flynn, Face recognition using 2D and 3D facial data, in: ACM Workshop on Multimodal User Authentication, 2003, pp. 25-32.
34. L. Qiao, S. Chen, and X. Tan Sparsity preserving projections with applications to face recognition Pattern Recognition 43 1 2010 331 341
35. B. Schölkopf, A. Smola, and K. Müller Nonlinear component analysis as a kernel eigenvalue problem Neural computation 10 5 1998 1299 1319
36. S. Kim, Y. Park, K. Toh, and S. Lee SVM-based feature extraction for face recognition Pattern Recognition 43 8 2010 2871 2881
37. N. Khan, R. Ksantini, I. Ahmad, and B. Boufama A novel SVM+NDA model for classification with an application to face recognition Pattern Recognition 45 1 2012 66 79
38. C. Hsu, and C. Lin A comparison of methods for multi-class support vector machines IEEE Transactions on Neural Networks 13 2002 415 425
39. C. Queirolo, L. Silva, and O. Bellon 3D face recognition using simulated annealing and the surface interpenetration measure IEEE Transactions on Pattern Analysis and Machine Intelligence 32 2 2010 206 219
40. F. ter Haar, R. Veltkamp, A 3D face matching framework, in: IEEE International Conference on Shape Modelling and Applications, IEEE, 2008, pp. 103-110.
41. P. Nair, A. Cavallaro, Registration and retrieval of 3D faces using a point distribution model, in: IEEE International Conference on Shape Modelling and Applications, IEEE, 2008, pp. 257-258.
42. B. Amberg, R. Knothe, T. Vetter, Expression invariant 3D face recognition with a morphable model, in: IEEE International Conference on Automatic Face and Gesture Recognition, IEEE, 2008, pp. 1-6.
43. L. Ballihi, B. Ben Amor, M. Daoudi, A. Srivastava, D. Aboutajdine, Selecting 3D curves on the nasal surface using AdaBoost for person authentication, in: Eurographics Workshop on 3D Object Retrieval, 2011, pp. 1-5.