Representation plurality and fusion for 3-D face recognition

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 38, Issue 1, 2008, Pages 155-173

  Gokberk, Berk ^a   Dutagaci, Helin ^b   Ulas, Aydin ^b   Akarun, Lale ^b   Sankur, Bülent ^b  

^a PHILIPS RESEARCH LABORATORIES   (Netherlands)

^b BOGAZICI UNIVERSITY   (Turkey)

Author keywords

3 D face recognition; Classifier selection; Face representation; Feature extraction; Fusion; Independent component analysis (ICA); Non negative matrix factorization (NMF)

Indexed keywords

ALGORITHMS; COSINE TRANSFORMS; DISCRETE COSINE TRANSFORMS; FACTORIZATION; FEATURE EXTRACTION; IMAGE FUSION; INDEPENDENT COMPONENT ANALYSIS;

CLASSIFIER SELECTION; NON-NEGATIVE MATRIX FACTORIZATION;

FACE RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOMETRY; COMPUTER ASSISTED DIAGNOSIS; FACE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMETRY; FACE; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 39649102743     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2007.908865     Document Type: Article

References (63)

1. A. Colombo, C. Cusano, and R. Schettini, "3D face detection using curvature analysis," Pattern Recognit., vol. 39, no. 3, pp. 444-455, Mar. 2006.
2. A. Mian, M. Bennamoun, and R. Owens, "Automatic 3D face detection, normalization and recognition," in Proc. 3rd Int. Symp. 3DPVT, 2006, pp. 735-742.
3. S. Malassiotis and M. G. Strintzis, "Robust real-time 3D head pose estimation from range data," Pattern Recognit., vol. 38, no. 8, pp. 1153-1165, Aug. 2005.
4. A. Mian, M. Bennamoun, and R. Owens, "Matching tensors for pose invariant automatic 3D face recognition," in Proc. IEEE Comput. Soc. Conf. Comput. Vis. Pattern Recog., 2005, vol. 3, p. 120.
5. A. Mian, M. Bennamoun, and R. Owens, "Face recognition using 2D and 3D multimodal local features," in Proc. ISVC, 2006, pp. 860-870.
6. C. Samir, A. Srivastava, and M. Daoudi, "Three-dimensional face recognition using shapes of facial curves," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 11, pp. 1858-1864, Nov. 2006.
7. B. Gökberk, M. O. Irfanoǧlu, and L. Akarun, "3D shape-based face representation and facial feature extraction for face recognition," Image Vis. Comput., vol. 24, no. 8, pp. 857-869, 2006.
8. H. Dutaǧaci, B. Sankur, and Y. Yemez, "3D face recognition by projection-based features," in Proc. SPIE - Conf. Electronic Imaging: Security, Steganography, Watermarking Multimedia Contents, 2006, pp. 194-204.
9. K. W. Bowyer, K. Chang, and P. Flynn, "A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition," Comput. Vis. Image Underst., vol. 101, no. 1, pp. 1-15, Jan. 2006.
10. G. Pan, S. Han, Z. Wu, and Y. Wang, "3D face recognition using mapped depth images," in Proc. IEEE Workshop Face Recog. Grand Challenge Experiments, 2005, p. 175.
11. T. Russ, M. Koch, and C. Little, "A 2D range Hausdorff approach for 3D face recognition," in Proc. IEEE Workshop Face Recog. Grand Challenge Experiments, 2005, p. 169.
12. A. Abate, M. Nappi, S. Ricciardi, and G. Sabatino, "Fast 3D face recognition based on normal map," in Proc. IEEE Int. Conf. Image Process., 2005, vol. 2, pp. 946-949.
13. X. Lu, A. Jain, and D. Colbry, "Matching 2.5D face scans to 3D models," IEEE Trans. Pattern Anal. Mach. Intell., vol. 28, no. 1, pp. 31-43, Jan. 2006.
14. G. Pan and Z. Wu, "3D face recognition from range data," Int. J. Image Graph., vol. 5, no. 3, pp. 573-593, 2005.
15. T. Papatheodorou and D. Reuckert, "Evaluation of automatic 4D face recognition using surface and texture registration," in Proc. 6th Int. Conf. Autom. Face Gesture Recog., 2004, pp. 321-326.
16. B. Gökberk, A. A. Salah, and L. Akarun, "Rank-based decision fusion for 3D shape-based face recognition," in Proc. Audio-Video-Based Biometric Person Authentication T. Kanade, A. Jain, and N. K. Ratha, Eds., 2005, vol. 3456, pp. 1019-1029.
17. M. O. Irfanoǧlu, B. Gökberk, and L. Akarun, "3D shape-based face recognition using automatically registered facial surfaces," in Proc. Int. Conf. Pattern Recog., 2004, pp. 183-186.
18. M. Koudelka, M. Koch, and T. Russ, "A prescreener for 3D face recognition using radial symmetry and the Hausdorff fraction," in Proc. IEEE Workshop Face Recog. Grand Challenge Experiments, 2005, p. 168.
19. G. Passalis, I. Kakadiaris, T. Theoharis, G. Toderici, and N. Murtuza, "Evaluation of 3D face recognition in the presence of facial expressions: An annotated deformable model approach," in Proc. IEEE Workshop Face Recog. Grand Challenge Experiments, 2005, p. 171.
20. X. Lu and A. K. Jain, "Deformation modeling for robust 3D face matching," in Proc. IEEE Comput. Soc. Conf. CVPR, 2006, pp. 1377-1383.
21. A. Bronstein, M. Bronstein, and R. Kimmel, "Three-dimensional face recognition," Int. J. Comput. Vis., vol. 64, no. 1, pp. 5-30, Aug. 2005.
22. [Online]. Available: http://www.sic.rma.ac.be/-beumier/DB/3da
23. K. Chang, K. Bowyer, and P. Flynn, "Adaptive rigid multi-region selection for handling expression variation in 3D face recognition," in Proc. IEEE Workshop Face Recog. Grand Challenge Experiments, 2005, p. 157.
24. C. Xu, Y. Wang, T. Tan, and L. Quan, "Automatic 3D face recognition combining global geometric features with local shape variation information," in Proc. Int. Conf. Autom. Face Gesture Recog., 2004, pp. 308-313.
25. K. I. Chang, K. W. Bowyer, and P. J. Flynn, "An evaluation of multimodal 2D + 3D face biometrics," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 4, pp. 619-624, Apr. 2005.
26. C. Ben Abdelkader and P. A. Griffin, "Comparing and combining depth and texture cues for face recognition," Image Vis. Comput., vol. 23, no. 3, pp. 339-352, Mar. 2005.
27. Y. Wang and C.-S. Chua, "Robust face recognition from 2D and 3D images using structural Hausdorff distance," Image Vis. Comput., vol. 24, no. 2, pp. 176-185, Feb. 2006.
28. Y. Wang and C.-S. Chua, "Face recognition from 2D and 3D images using 3D Gabor filters," Image Vis. Comput., vol. 23, no. 11, pp. 1018-1028, Oct. 2005.
29. M. Husken, M. Brauckmann, S. Gehlen, and C. von der Malsburg, "Strategies and benefits of fusion of 2D and 3D face recognition," in Proc. IEEE Workshop Face Recog. Grand Challenge Experiments, 2005, p. 174.
30. A. A. Salah, H. Çinar, L. Akarun, and B. Sankur, "Robust facial landmarking for registration," Ann. Telecommun., vol. 62, no. 1/2, pp. 1608-1633, 2007.
31. H. Çinar, A. A. Salah, L. Akarun, and B. Sankur, "2D/3D facial feature extraction," in Proc. SPIE - Conf. Electronic Imaging, 2006, pp. 441-452.
32. A. Srivastava, X. Liu, and C. Hesher, "Face recognition using optimal linear components of range images," Image Vis. Comput., vol. 24, no. 3, pp. 291-299, Mar. 2006.
33. F. Stein and G. Medioni, "Structural indexing: Efficient 3-D object recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 14, no. 2, pp. 125-145, Feb. 1992.
34. C. Dorai and A. K. Jain, "Cosmos - A representation scheme for 3D free-form objects," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 10, pp. 1115-1130, Oct. 1997.
35. F. Mokhtarian, N. Khalili, and P. Yuen, "Multi-scale free-form 3D object recognition using 3D models," Image Vis. Comput., vol. 19, no. 5, pp. 271-281, Apr. 2001.
36. R. Osada, T. Funkhouser, B. Chazelle, and D. Dobkin, "Matching 3D models with shape distributions," in Proc. IEEE Int. Conf. SMI, 2001, pp. 154-166.
37. T. Zaharia and F. Preteux, "Shape-based retrieval of 3D mesh models," in Proc. IEEE ICME, 2002, pp. 437-440.
38. C. B. Akgül, B. Sankur, Y. Yemez, and F. Schmitt, "Density-based 3D shape descriptors," EURASIP J. Advances Signal Process., vol. 2007, p. 16, 2007. Article ID 32 503, DOI: 10.1155/2007/32503.
39. J. J. Koenderink and A. J. van Doorn, "Surface shape and curvature scales," Image Vis. Comput., vol. 10, no. 8, pp. 557-565, Oct. 1992.
40. A. Hyvarinen and E. Oja, "Independent component analysis: Algorithms and applications," Neural Netw., vol. 13, no. 4/5, pp. 411-430, May/Jun. 2000.
41. D. Lee and H. Seung, "Learning the parts of objects by non-negative matrix factorization," Nature, vol. 401, no. 6755, pp. 788-791, Oct. 1999.
42. D. Lee and H. Seung, "Algorithms for nonnegative matrix factorization," in Proc. Advances Neural Inf. Process. Syst., 2001, vol. 13, pp. 556-562.
43. L. Wiskott, J.-M. Fellous, N. Kuiger, and C. von der Malsburg, "Face recognition by elastic bunch graph matching," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 775-779, Jul. 1997.
44. C. Liu, "Gabor-based kernel PCA with fractional power polynomial models for face recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 5, pp. 572-581, May 2004.
45. B. Gökberk, L. Akarun, and E. Alpaydin, "Selection of kernel location, frequency, and orientation parameters of 2-D Gabor wavelets for face recognition," Perception (Absract), vol. 32, p. 1, 2003.
46. J. Kittler, M. Hatef, R. Duin, and J. Matas, "On combining classifiers," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 3, pp. 226-239, Mar. 1998.
47. D. H. Wolpert, "Stacked generalization," Neural Netw., vol. 5, no. 2, pp. 241-259, 1992.
48. R. A. Jacobs, M. I. Jordan, S. J. Nowlan, and G. E. Hinton, "Adaptive mixtures of local experts," Neural Comput., vol. 3, no. 1, pp. 79-87, 1991.
49. L. Breiman, "Bagging predictors," Mach. Learn., vol. 24, no. 2, pp. 123-140, Aug. 1996.
50. Y. Freund and R. E. Schapire, "Experiments with a new boosting algorithm," in Proc. ICML, 1996, pp. 148-156.
51. K. Chang, K. W. Bowyer, and P. J. Flynn, "Face recognition using 2D and 3D facial data," in Proc. ACM Workshop Multimodal User Authentication, 2003, pp. 25-32.
52. P. J. Phillips, P. J. Flynn, T. Scruggs, K. W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W. Worek, "Overview of the face recognition grand challenge," in Proc. Int. Conf. Comput. Vis. Pattern Recog., 2005, pp. 947-954.
53. C. Demir and E. Alpaydin, "Cost-conscious classifier ensembles," Pattern Recognit. Lett., vol. 26, no. 14, pp. 2206-2214, Oct. 2005.
54. R. Caruana, A. Niculescu-Mizil, G. Crew, and A. Ksikes, "Ensemble selection from libraries of models," in Proc. ICML, 2004, p. 18.
55. G. Giacinto and F. Roli, "Design of effective neural network ensembles for image classification," Image Vis. Comput. J., vol. 19, no. 9/10, pp. 697-705, 2001.
56. D. D. Margineantu and T. G. Dietterich, "Pruning adaptive boosting," in Proc. ICML, 1997, pp. 211-218.
57. A. L. Prodromidis and S. J. Stolfo, "Cost complexity-based pruning of ensemble classifiers," Knowl. Inf. Syst., vol. 3, no. 4, pp. 449-469, Nov. 2001.
58. D. Ruta and B. Gabrys, "Classifier selection for majority voting," Inf. Fusion, vol. 6, no. 1, pp. 63-81, Mar. 2005.
59. Z.-H. Zhou, J. Wu, and W. Tang, "Ensembling neural networks: Many could be better than all," Artif. Intell., vol. 137, no. 1, pp. 239-263, May 2002.
60. A. Jain, R. P. W. Duin, and J. Mao, "Statistical pattern recognition: A review," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-22, no. 1, pp. 4-37, Jan. 2000.
61. L. I. Kuncheva, Combining Pattern Classifiers: Methods and Algorithms Hoboken, NJ: Wiley, 2004.
62. T. Faltemier, K. Bowyer, and P. Flynn, "3D face recognition with region committee voting," in Proc. 3rd Int. Symp. 3D Data Process., Vis. Transmiss., 2006, pp. 318-325.
63. S. Z. Li, X. W. Hou, H. J. Zhang, and Q. S. Cheng, "Learning spatially localized, parts-based representation," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 2001, pp. 207-212.