Infrared face recognition: A comprehensive review of methodologies and databases

Pattern Recognition

Volumn 47, Issue 9, 2014, Pages 2807-2824

  Shoja Ghiass, Reza ^a   Arandjelović, Ognjen ^b   Bendada, Abdelhakim ^a   Maldague, Xavier ^a  

^a UNIVERSITÉ LAVAL   (Canada)

^b DEAKIN UNIVERSITY   (Australia)

Author keywords

Fusion; Identification; Survey; Thermal; Thermogram; Vein extraction

Indexed keywords

COMPUTER GRAPHICS; FUSION REACTIONS; IDENTIFICATION (CONTROL SYSTEMS); INFRARED IMAGING; RESEARCH; SURVEYING;

AUTOMATIC FACE RECOGNITION; INFRARED FACE RECOGNITION; RECOGNITION ACCURACY; RESEARCH FIELDS; SYSTEMATIC REVIEW; THERMAL; THERMOGRAM; VEIN EXTRACTIONS;

FACE RECOGNITION;

EID: 84900790076     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2014.03.015     Document Type: Article

References (155)

1. S. Kong, J. Heo, B. Abidi, J. Paik, and M. Abidi Recent advances in visual and infrared face recognition - a review Comput. Vis. Image Underst. 97 1 2005 103 135
2. R. Gross, I. Matthews, and S. Baker Active appearance models with occlusion Image Vis. Comput. (Special Issue on Face Processing in Video) 1 6 2006 593 604
3. V. Blanz, and T. Vetter Face recognition based on fitting a 3D morphable model IEEE Trans. Pattern Anal. Mach. Intell. 25 9 2003 1063 1074
4. U. Mohammed, S. Prince, and J. Kautz Visio-lization generating novel facial images ACM Trans. Gr. (TOG) 28 3 2009 57:1 57:8
5. M. Nishiyama, O. Yamaguchi, Face recognition using the classified appearance-based quotient image, in: Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, 2006, pp. 49-54
6. L. Wolf, and A. Shashua Learning over sets using kernel principal angles J. Mach. Learn. Res. 4 10 2003 913 931
7. T.-J. Chin, D. Suter, A new distance criterion for face recognition using image sets, in: Proceedings of Asian Conference on Computer Vision, 2006, pp. 549-558
8. Y.M. Lui, J.R. Beveridge, Grassmann registration manifolds for face recognition, in: Proceedings of European Conference on Computer Vision, vol. 2, 2008, pp. 44-57
9. W. Fan, D.-Y. Yeung, Face recognition with image sets using hierarchically extracted exemplars from appearance manifolds, in: Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, 2006, pp. 177-182
10. O. Arandjelović, R. Cipolla, An illumination invariant face recognition system for access control using video, in: Proceedings of British Machine Vision Conference, 2004, pp. 537-546
11. K. Lee, D. Kriegman, Online learning of probabilistic appearance manifolds for video-based recognition and tracking, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 852-859
12. K. Bowyer, K. Chang, P. Flynn, X. Chen, Face recognition using 2-D, 3-D, and infrared: is multimodal better than multisample? in: Proceedings of IEEE, vol. 94(11), 2006, pp. 2000-2012
13. G. Pan, and Z. Wu 3D face recognition from range data Int. J. Image Gr. 5 3 2005 573 593
14. A. Godil, S. Ressler, R. Grother, Face recognition using 3D facial shape and color map information: comparison and combination, in: Proceedings of SPIE, vol. 5404, 2004, pp. 351-361
15. X. Zou, J. Kittler, K. Messer, Illumination invariant face recognition: a survey, in: Proceedings of IEEE Conference on Biometrics: Theory, Applications and Systems, 2007
16. X. Maldague Theory and Practice of Infrared Technology for Non Destructive Testing 2001 John-Wiley & Sons, New York
17. G. Friedrich, Y. Yeshurun, Seeing people in the dark: face recognition in infrared images, in: Proceedings of British Machine Vision Conference, 2003, pp. 348-359
18. H. Chang, A. Koschan, M. Abidi, S.G. Kong, C. Won, Multispectral visible and infrared imaging for face recognition, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2008, pp. 1-6
19. F. Nicolo, N.A. Schmid, A method for robust multispectral face recognition, in: Proceedings of IEEE International Conference on Image Analysis and Recognition, vol. 2, 2011, pp. 180-190
20. P. Buddharaju, I.T. Pavlidis, P. Tsiamyrtzis, Physiology-based face recognition, in: Proceedings of IEEE Conference on Advanced Video and Signal Based Surveillance, 2005, pp. 354-359
21. I. Pavlidis, P. Symosek, The imaging issue in an automatic face/disguise detection system, in: Proceedings of IEEE Workshop on Computer Vision Beyond the Visible Spectrum, 2000, pp. 15-24
22. X. Zou, J. Kittler, K. Messer, Face recognition using active near-IR illumination, in: Proceedings of British Machine Vision Conference, 2005, pp. 209-219
23. W. Tasman, and E.A. Jaeger Duanes Ophthalmology 2009 Lippincott Williams & Wilkins, Philadelphia
24. P. Buddharaju, I.T. Pavlidis, P. Tsiamyrtzis, and M. Bazakos Physiology-based face recognition in the thermal infrared spectrum IEEE Trans. Pattern Anal. Mach. Intell. 29 4 2007 613 626
25. S.Q. Wu, L.Z. Wei, Z.J. Fang, R.W. Li, X.Q. Ye, Infrared face recognition based on blood perfusion and sub-block DCT in wavelet domain, in: Proceedings of International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR), vol. 3, 2007, pp. 1252-1256
26. S. Li, R. Chu, S. Liao, and L. Zhang Illumination invariant face recognition using near-infrared images IEEE Trans. Pattern Anal. Mach. Intell. 29 4 2007 627 639
27. S. Wu, W. Song, L.J. Jiang, S. Xie, F. Pan, W.Y. Yau, S. Ranganath, Infrared face recognition by using blood perfusion data, in: Proceedings of International Conference on Audio- and Video-Based Biometric Person Authentication, 2005, pp. 320-328
28. M. Akhloufi, A. Bendada, and J. Batsale State of the art in infrared face recognition Quant. Infrared Thermogr. 5 1 2008 3 26
29. R.S. Ghiass, A. Bendada, and X. Maldague Infrared face recognition a review of the state of the art Quant. Infrared Thermogr. J. 2010 533 540
30. R.S. Ghiass, O. Arandjelović, A. Bendada, X. Maldague, Infrared face recognition: a literature review, in: Proceedings of International Joint Conference on Neural Networks, 2013, pp. 2791-2800
31. F.J. Prokoski, R.B. Riedel, J.S. Coffin, Identification of individuals by means of facial thermography, in: Proceedings of IEEE International Carnahan Conference on Security Technology (ICCST): Crime Countermeasures, 1992, pp. 120-125
32. F.J. Prokoski, Method for identifying individuals from analysis of elemental shapes derived from biosensor data, US Patent 5,163,094, 1992
33. F.J. Prokoski, R. Riedel, BIOMETRICS: personal identification in networked society, in: Infrared Identification of Faces and Body Parts. Kluwer Academic Publishers, 1998
34. L.B. Wolff, D.A. Socolinsky, C.K. Eveland, Quantitative measurement of illumination invariance for face recognition using thermal infrared imagery, in: Proceedings of IEEE International Workshop on Object Tracking and Classification Beyond the Visible Spectrum, 2001
35. A.B. Persson, and I.R. Buschmann Vascular growth in health and disease Front. Mol. Neurosci. 4 14 2011
36. X. Chen, P. Flynn, and K. Bowyer IR and visible light face recognition Comput. Vis. Image Underst. 99 3 2005 332 358
37. S. Wu, Z. Fang, Z. Xie, W. Liang, Recent Advances in Face Recognition - Chapter 13: Blood Perfusion Models for Infrared Face Recognition, InTech, 2008
38. O. Arandjelović, R.I. Hammoud, and R. Cipolla Thermal and reflectance based personal identification methodology in challenging variable illuminations Pattern Recognit. 43 5 2010 1801 1813
39. R. Cutler, Face Recognition Using Infrared Images and Eigenfaces, Technical Report, University of Maryland, 1996
40. M. Turk, and A. Pentland Eigenfaces for recognition J. Cogn. Neurosci. 3 1 1991 71 86
41. D.A. Socolinsky, L.B. Wolff, J.D. Neuheisel, C.K. Eveland, Illumination invariant face recognition using thermal infrared imagery, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2001, p. 527
42. D.A. Socolinsky, A. Selinger, Thermal face recognition over time, in: Proceedings of IAPR International Conference on Pattern Recognition, vol. 4, 2004, pp. 187-190
43. A. Selinger, D. Socolinsky, Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A Comparative Study, Technical Report, Equinox Corporation, 2002
44. A. Selinger, D. Socolinsky, Face recognition in the dark, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops, vol. 8, 2004, p. 129
45. D. Cristinacce, T.F. Cootes, I. Scott, A multistage approach to facial feature detection, in: Proceedings of British Machine Vision Conference, vol. 1, 2004, pp. 277-286
46. O. Arandjelović, A. Zisserman, Automatic face recognition for film character retrieval in feature-length films, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 860-867
47. L. Ding, and A.M. Martinez Features versus context an approach for precise and detailed detection and delineation of faces and facial features IEEE Trans. Pattern Anal. Mach. Intell. 32 11 2010 2022 2038
48. H.-W. Tzeng, H.-C. Lee, M.-Y. Chen, The design of isotherm face recognition technique based on nostril localization, in: Proceedings of International Conference on System Science and Engineering, 2011, pp. 82-86
49. T. Jin, C. Shouming, X. Xiuzhen, J. Gu, Eyes localization in an infrared image, in: Proceedings of IEEE International Conference on Automation and Logistics (ICAL), 2009, pp. 217-222
50. T. Bourlai, Z. Jafri, Eye detection in the middle-wave infrared spectrum: towards recognition in the dark, in: Proceedings of IEEE International Workshop on Information Forensics and Security (WIFS), 2011, pp. 1-6
51. T. Bourlai, C. Whitelam, I. Kakadiaris, Pupil detection under lighting and pose variations in the visible and active infrared bands, in: Proceedings of IEEE International Workshop on Information Forensics and Security (WIFS), 2011, pp. 1-6
52. B. Martinez, X. Binefa, M. Pantic, Facial component detection in thermal imagery, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2010, pp. 48-54
53. X. Chen, P. Flynn, K. Bowyer, Visible-light and infrared face recognition, in: Proceedings of Workshop on Multimodal User Authentication, 2003, pp. 48-55
54. S. Zhao, R. Grigat. An automatic face recognition system in the near infrared spectrum, in: Machine Learning and Data Mining in Pattern Recognition, 2005, pp. 437-444
55. X. Zou, J. Kittler, K. Messer, Accurate face localisation for faces under active near-IR illumination, in: Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, 2006, pp. 369-374
56. T. Elguebaly, N. Bouguila, A Bayesian method for infrared face recognition, in: Machine Vision Beyond Visible Spectrum, vol. 1, 2011, pp. 123-138
57. Z. Lin, Z. Wenrui, S. Li, F. Zhijun, Infrared face recognition based on compressive sensing and PCA, in: Proceedings of International Conference on Computer Science and Automation Engineering (CSAE), vol. 2, 2011, pp. 51-54
58. Y. Yoshitomi, T. Miyaura, S. Tomita, S. Kimura, Face identification using thermal image processing, in: RO-MAN, 1997, pp. 374-379
59. S.Z. Li, his face team, AuthenMetric Fl: a highly accurate and fast face recognition system, in: Proceedings of IEEE International Conference on Computer Vision - Demos, 2005
60. S. Li, R. Chu, M. Ao, L. Zhang, R. He, Highly accurate and fast face recognition using near infrared images, in: Proceedings of IAPR International Conference on Biometrics, 2006, pp. 151-158
61. S. Li, L. Zhang, S. Liao, X. Zhu, R. Chu, M. Ao, R. He, A near-infrared image based face recognition system, in: Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, 2006, pp. 455-460
62. T. Ojala, M. Pietikäinen, D. Harwood, Performance evaluation of texture measures with classification based on Kullback discrimination of distributions, in: Proceedings of IAPR International Conference on Pattern Recognition, vol. 1, 1994, pp. 582-585
63. H. Maeng, H.-C. Choi, U. Park, S.-W. Lee, A. K. Jain, NFRAD: Near-infrared face recognition at a distance, in: Proceedings of International Joint Conference on Biometrics (IJCB), 2011, pp. 1-7
64. D. Goswami, C.H. Chan, D. Windridge, J. Kittler, Evaluation of face recognition system in heterogeneous environments (visible vs NIR), in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2011, pp. 2160-2167
65. A. Srivastava, X. Liu, B. Thomasson, C. Hesher, Spectral probability models for infrared images and their applications to ir face recognition, in: CVBVS, 2001
66. A. Srivastana, and X. Liu Statistical hypothesis pruning for recognizing faces from infrared images Image Vis. Comput. 21 7 2003 651 661
67. P. Buddharaju, I. Pavlidis, I. Kakadiaris, Face recognition in the thermal infrared spectrum, in: Proceedings of IEEE International Workshop on Object Tracking and Classification Beyond the Visible Spectrum, 2004, pp. 133-138
68. J. Chen, S. Shan, C. He, G. Zhao, M. Pietikäine, X. Chen, and W. Gao WLD a robust local image descriptor IEEE Trans. Pattern Anal. Mach. Intell. 32 9 2010 1705 1720
69. T. Mandal, A. Majumdar, Q.M.J. Wu, Face recognition by curvelet based feature extraction, in: ICIAR, 2007, pp. 806-817
70. Z. Xie, S. Wu, G. Liu, Z. Fang, Infrared face recognition based on radiant energy and curvelet transformation, in: Proceedings of International Conference on Information Assurance and Security (IAS), vol. 2, 2009, pp. 215-218
71. Z. Xie, S. Wu, G. Liu, Z. Fang, Infrared face recognition method based on blood perfusion image and curvelet transformation, in: Proceedings of International Conference on Wavelet Analysis and Pattern Recognition, 2009, pp. 360-364
72. Z. Xie, G. Liu, S. Wu, Y. Lu, A fast infrared face recognition system using curvelet transformation, in: ISECS, vol. 2, 2009, pp. 145-149
73. P. Buddharaju, I. Pavlidis, P. Tsiamyrtzis, Pose-invariant physiological face recognition in the thermal infrared spectrum, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2006, pp. 53-60
74. T.R. Gault, N. Blumenthal, A.A. Farag, T. Starr, Extraction of the superficial facial vasculature, vital signs waveforms and rates using thermal imaging, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2010, pp. 1-8
75. A. Seal, M. Nasipuri, D. Bhattacharjee, D.K. Basu, Minutiae based thermal face recognition using blood perfusion data, in: International Conference on Image Information Processing, 2011, pp. 1-4
76. T. Sim, S. Zhang, Exploring face space, in: Proceedings of IEEE Workshop on Face Processing in Video, 2004, p. 84
77. J. Lee, B. Moghaddam, H. Pfister, R. Machiraju, Finding optimal views for 3D face shape modeling, in: Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, 2004, pp. 31-36
78. R.S. Ghiass, O. Arandjelović, A. Bendada, X. Maldague, Vesselness features and the inverse compositional AAM for robust face recognition using thermal IR, in: Proceedings of AAAI Conference on Artificial Intelligence, 2013, pp. 357-364
79. R.S. Ghiass, O. Arandjelović, A. Bendada, X. Maldague, Illumination-invariant face recognition from a single image across extreme pose using a dual dimension AAM ensemble in the thermal infrared spectrum, in: Proceedings of International Joint Conference on Neural Networks, 2013, pp. 2781-2790
80. P. Buddharaju, I. Pavlidis, Physiological face recognition is coming of age, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 128-135
81. S. Cho, L. Wang, W.J. Ong, Thermal imprint feature analysis for face recognition, in: ISIE, 2009, pp. 1875-1880
82. T.F. Cootes, G.J. Edwards, C.J. Taylor, Active appearance models, in: Proceedings of European Conference on Computer Vision, vol. 2, 1998, pp. 484-498
83. Z. Xie, G. Liu, S. Wu, Z. Fang, Infrared face recognition based on blood perfusion and fisher linear discrimination analysis, in: IST, 2009, pp. 85-88
84. S. Wu, Z. Gu, K.A. Chia, S.H. Ong, Infrared facial recognition using modified blood perfusion, in: ICICS, 2007, pp. 1-5
85. Z. Xie, S. Wu, C. He, Z. Fang, J. Yang, Infrared face recognition based on blood perfusion using bio-heat transfer model, in: CCPR, 2010, pp. 1-4
86. Z. Pan, G. Healey, M. Prasad, and B. Tromberg Face recognition in hyperspectral images IEEE Trans. Pattern Anal. Mach. Intell. 25 12 2003 1552 1560
87. Z. Pan, G. Healey, M. Prasad, B. Tromberg, Multiband and spectral eigenfaces for face recognition in hyperspectral images, in: Proceedings of SPIE, vol. 5779, 2005, pp. 144-151
88. T. Bourlai, N. Kalka, A. Ross, B. Cukic, L. Hornak, Cross-spectral face verification in the short wave infrared (SWIR) band, in: Proceedings of IAPR International Conference on Pattern Recognition, 2010, pp. 1343-1347
89. P. Viola, and M. Jones Robust real-time face detection Int. J. Comput. Vis. 57 2 2004 137 154
90. B. Klare, A.K. Jain, Dynamic scene shape reconstruction using a single structured light pattern, in: Proceedings of IAPR International Conference on Pattern Recognition, 2008, pp. 1513-1516
91. N. Dalai, B. Triggs, Histograms of oriented gradients for human detection, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 886-893
92. J. Chen, D. Yi, J. Yang, G. Zhao, S.Z. Li, M. Pietikäinen, Learning mappings for face synthesis from near infrared to visual light images, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2009, pp. 156-163
93. Z. Lei, S.Z. Li, Coupled spectral regression for matching heterogeneous faces, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 1993, pp. 1123-1128
94. S.M. Mavadati, M.T. Sadeghi, J. Kittler, Fusion of visible and synthesized near infrared information for face authentication, in: Proceedings of IEEE International Conference on Image Processing, 2010, pp. 3801-3804
95. M. Shao, Y. Wang, Y. Wang, A super-resolution based method to synthesize visual images from near infrared, in: Proceedings of IEEE International Conference on Image Processing, 2009, pp. 2453-2456
96. T. Bourlai, A. Ross, C. Chen, L. Hornak, A study on using mid-wave infrared images for face recognition, in: Proceedings of SPIE, 2012
97. A. Bosch, A. Zisserman, X. Munoz, Representing shape with a spatial pyramid kernel, in: Proceedings of ACM International Conference on Image and Video Retrieval, 2007, pp. 401-408
98. D.G. Lowe Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 2 2003 91 110
99. J. Wilder, P. Phillips, C. Jiang, S. Wiener, Comparison of visible and infra-red imagery for face recognition, in: Proceedings of IEEE International Conference on Automatic Face and Gesture Recognition, 1996, pp. 182-187
100. R. Siddiqui, M. Sher, R. Khalid, Face identification based on biological trait using infrared images after cold effect enhancement and sunglasses filtering, in: Proceedings of International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, vol. 12, 2004, pp. 161-164
101. X. Chen, P. Flynn, K. Bowyer, PCA-based face recognition in infrared imagery: baseline and comparative studies, in: AMFG, 2003, pp. 127-134
102. A. Gyaourova, G. Bebis, I. Pavlidis, Fusion of infrared and visible images for face recognition, in: Proceedings of European Conference on Computer Vision, vol. 4, 2004, pp. 456-468
103. S. Singha, A. Gyaourovaa, G. Bebisa, I. Pavlidis, Infrared and visible image fusion for face recognition, in: Proceedings of SPIE Defense and Security Symposium (Biometric Technology for Human Identification), 2004
104. X. Chen, Z. Jing, G. Xiao, Fuzzy fusion for face recognition, in: FSKD, 2005, pp. 672-675
105. J. Heo, S.G. Kong, B.R. Abidi, M.A. Abidi, Fusion of visual and thermal signatures with eyeglass removal for robust face recognition, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004, p. 122
106. S.G. Kong, J. Heo, F. Boughorbel, Y. Zheng, B.R. Abidi, A. Koschan, M. Yi, and M.A. Abidi Multiscale fusion of visible and thermal IR images for illumination-invariant face recognition Int. J. Comput. Vis. 71 2 2007 215 233
107. D. Socolinsky, A. Selinger, and J. Neuheisel Face recognition with visible and thermal infrared imagery Comput. Vis. Image Underst. 91 1-2 2003 72 114
108. D. Socolinsky, A. Selinger, Thermal face recognition in an operational scenario, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, vol. 2, 2004, pp. 1012-1019
109. D. Socolinsky, A. Selinger, A comparative analysis of face recognition performance with visible and thermal infrared imagery, in: Proceedings of IAPR International Conference on Pattern Recognition, vol. 4, 2002, pp. 217-222
110. M.K. Bhowmik, D. Bhattacharjee, M. Nasipuri, D.K. Basu, M. Kundu, Optimum fusion of visual and thermal face images for recognition, in: Proceedings of International Conference on Information Assurance and Security (IAS), 2010, pp. 311-316.
111. O. Arandjelović, R.I. Hammoud, R. Cipolla, Multi-sensory face biometric fusion (for personal identification), in: Proceedings of IEEE International Workshop on Object Tracking and Classification Beyond the Visible Spectrum, 2006, pp. 128-135
112. O. Arandjelović, R. Hammoud, R. Cipolla, On person authentication by fusing visual and thermal face biometrics, in: Proceedings of IEEE Conference on Advanced Video and Signal Based Surveillance, 2006, pp. 50-56
113. O. Arandjelović, and R. Cipolla A methodology for rapid illumination-invariant face recognition using image processing filters Comput. Vis. Image Underst. 113 2 2009 159 171
114. S. Moon, S.G. Kong, J. Yoo, K. Chung, Face recognition with multiscale data fusion of visible and thermal images, in: CIHSPS, 2006, pp. 24-27
115. O.K. Kwon, S.G. Kong, Multiscale fusion of visual and thermal images for robust face recognition, in: CIHSPS, 2005, pp. 112-116
116. E.G. Zahran, A.M. Abbas, M.I. Dessouky, M.A. Ashour, K.A. Sharshar, High performance face recognition using PCA and ZM on fused LWIR and VISIBLE images on the wavelet domain, in: International Conference on Computer Engineering & Systems, 2009, pp. 449-454
117. H. Hariharan, A. Koschan, B. Abidi, A. Gribok, M. Abidi, Fusion of visible and infrared images using empirical mode decomposition to improve face recognition, in: Proceedings of IEEE International Conference on Image Processing, 2006, pp. 2049-2052
118. O. Rockinger, T. Fechner, Pixel-level image fusion: the case of image sequences, in: Proceedings of SPIE, vol. 3374, 1998, pp. 378-388
119. K.H. Abas, O. Ono, Infrared-based face identification system via multi-thermal moment invariants distribution, in: Proceedings of International Conference on Signals, Circuits and Systems, 2009, pp. 1-5
120. K.H. Abas, O. Ono, Implementation of frontal-centroid moment invariants in thermal-based face identification system, in: Proceedings of International Conference on Signal-Image Technology & Internet-Based Systems, 2009, pp. 36-41
121. K.H. Abas, O. Ono, Thermal physiological moment invariants for face identification, in: Proceedings of International Conference on Signal-Image Technology & Internet-Based Systems, 2010, pp. 1-6
122. W. Hizem, L. Allano, A. Mellakh, and B. Dorizzi Face recognition from synchronised visible and near-infrared images IET Signal Process. 3 4 2009 282 288
123. M.A. Akhloufi, A. Bendada, Thermal faceprint: a new thermal face signature extraction for infrared face recognition, in: Canadian Conference on Computer and Robot Vision, 2008, pp. 269-272
124. K.-A. Toh, J. Kim, and S. Lee Biometric scores fusion based on total error rate minimization Pattern Recognit. 41 3 2008 1066 1082
125. K.-A. Toh, A projection framework for biometric scores fusion, in: Proceedings of International Conference on Control, Automation, Robotics and Vision, 2010, pp. 1262-1267
126. M. Shao, Y.-H. Wang, A BEMD based multi-layer face matching: from near infrared to visual images, in: Proceedings of IEEE International Workshop on Analysis and Modeling of Faces and Gestures, 2009, pp. 1634-1640
127. E.G. Zahran, A.M. Abbas, M.I. Dessouky, M.A. Ashour, K.A. Sharshar, Performance analysis of infrared face recognition using PCA and ZM, in: International Conference on Computer Engineering & Systems, 2009, pp. 45-50
128. M.A. Akhloufi, A. Bendada, A new framework for face recognition in and beyond the visible spectrum, in: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2010, pp. 1846-1850
129. F.M. Pop, M. Gordan, C. Florea, A. Vlaicu, Fusion based approach for thermal and visible face recognition under pose and expressivity variation, in: Proceedings of Roedunet International Conference (RoEduNet), 2010, pp. 61-66
130. M.A. Akhloufi, A. Bendada, A new framework for face recognition in and beyond the visible spectrum, in: Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2010, pp. 3308-3314
131. Equinox Corp. Equinox Human Identification at a Distance Database. http://www.equinoxsensors.com/products/HID.html (last accessed 2012)
132. B. Abidi, S. Huq, M. Abidi, Fusion of visual, thermal, and range as a solution to illumination and pose restrictions in face recognition, in: Proceedings of IEEE Carnahan Conference on Security Technology (CCST), 2004, pp. 325-330
133. S. Singh, A. Gyaourova, G. Bebis, I. Pavlidis, Infrared and visible image fusion for face recognition, in: Proceedings of SPIE, vol. 5404, 2004, pp. 585-596
134. J. Heo, M. Savvides, V. Kumar, Advanced correlation filters for face recognition using low-resolution visual and thermal imagery, in: Proceedings of International Conference on Image Analysis and Recognition, 2005, pp. 1089-1097.
135. J. Heo, M. Savvides, V. Kumar, Advanced correlation filters for face recognition using low-resolution visual and thermal imagery, in: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2005, p. 9
136. G.N. Bebis, A. Gyaourova, S. Singh, and I.T. Pavlidis Face recognition by fusing thermal infrared and visible imagery Image Vis. Comput. 24 7 2006 727 742
137. R. Singh, M. Vatsa, and A. Noore Hierarchical fusion of multi-spectral face images for improved recognition performance Inf. Fusion 9 2 2008 200 210
138. S.M. Desa, S. Hati, IR and visible face recognition using fusion of kernel based features, in: Proceedings of IAPR International Conference on Pattern Recognition, 2008, pp. 1-4
139. G. Hermosilla, J. Ruiz-del Solar, R. Verschae, M. Correa, Face recognition using thermal infrared images for human-robot interaction applications: a comparative study, in: Proceedings of Latin American Robotics Symposium, 2009, pp. 1-7
140. University of Tennessee. IRIS Thermal/Visible Face Database. http://www.cse.ohio-state.edu/otcbvs-bench/ (last accessed 2012)
141. M.K. Bhowmik, D. Bhattacharjee, M. Nasipuri, Classification of polar-thermal eigenfaces using multilayer perceptron for human face recognition, in: Proceedings of International Conference on Industrial and Information Systems, 2008, pp. 1-6
142. H. Chang, H. Harishwaran, M. Yi, A. Koschan, B. Abidi, M. Abidi, An indoor and outdoor, multimodal, multispectral and multi-illuminant database for face recognition, in: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2006, p. 54
143. H. Chang, A. Koschan, B. Abidi, M. Abidi, Physics-based fusion of multispectral data for improved face recognition, in: Proceedings of IAPR International Conference on Pattern Recognition, vol. 3, 2006, pp. 1083-1086
144. H. Chang, Y. Yao, A. Koschan, B. Abidi, M. Abidi, Spectral range selection for face recognition under various illuminations, in: Proceedings of IEEE International Conference on Image Processing, 2008, pp. 2756-2759
145. H. Chang, Y. Yao, A. Koschan, B. Abidi, and M. Abidi Improving face recognition via narrowband spectral range selection using Jeffrey divergence IEEE Trans. Inf. Forensic Secur. 4 1 2009 111 122
146. University of Notre Dame. University of Notre Dame Biometric Data Set Collection C. http://www.nd.edu/~cvrl/CVRL/Data-Sets.html (last accessed 2012)
147. P. Buyssens, M. Revenu, Fusion levels of visible and infrared modalities for face recognition, in: IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS), 2010, pp. 1-6
148. P. Buyssens, M. Revenu, IR and visible face identification via sparse representation, in: IEEE International Conference on Biometrics: Theory Applications and Systems (BTAS), 2010, pp. 1-6
149. M. Grgic, K. Delac, and S. Grgic SCface - surveillance cameras face database Multimed. Tools Appl. J. 51 3 2011 863 879
150. Z. Pan, G. Healey, M. Prasad, B. Tromberg, Hyperspectral face recognition under variable outdoor illumination, in: Proceedings of SPIE, vol. 5425, 2004, pp. 520-529
151. N. Kalka, T. Bourlai, B. Cukic, L. Hornak, Cross-spectral face recognition in heterogeneous environments: a case study on matching visible to short-wave infrared imagery, in: Proceedings of IEEE/IAPR International Joint Conference on Biometrics, 2011, pp. 1-8
152. B. Zhang, L. Zhang, D. Zhang, L. Shen, Directional Binary Code with Application to Polyu Near-Infrared Face Database, vol. 31(14), 2010, pp. 2337-2344
153. L. Shen, J. He, S. Wu, S. Zheng, Face recognition from visible and near-infrared images using boosted directional binary code, in: Proceedings of International Conference on Advanced Intelligent Computing Theories and Applications: with Aspects of Artificial Intelligence, 2011, pp. 404-411
154. J. Wright, A.Y. Yang, A. Ganesh, S.S. Sastry, and Y. Ma Robust face recognition via sparse representation IEEE Trans. Pattern Anal. Mach. Intell. 31 2 2009 210 227
155. W. Deng, J. Hu, and J. Guo Extended SRC undersampled face recognition via intraclass variant dictionary IEEE Trans. Pattern Anal. Mach. Intell. 34 9 2012 1864 1870