An enhanced representation of thermal faces for improving local appearance-based face recognition

Intelligent Automation and Soft Computing

Volumn 23, Issue 1, 2017, Pages 1-12

  Hermosilla, Gabriel ^a   Ruiz del Solar, Javier ^b,c   Verschae, Rodrigo ^c  

^a PONTIFICIA UNIVERSIDAD CATÓLICA DE VALPARAÍSO   (Chile)

^b UNIVERSITY OF CHILE   (Chile)

^c UNIVERSITY OF CHILE   (Chile)

Author keywords

Face recognition; thermal face recognition; unconstrained environments; vascular network

Indexed keywords

EID: 84949798231     PISSN: 10798587     EISSN: 2326005X     Source Type: Journal    
DOI: 10.1080/10798587.2015.1110288     Document Type: Article

References (40)

1. Ahonen, T., Hadid, A., & Pietikainen, M., (2006). Face description with local binary patterns:Application to face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28, 2037–2041.10.1109/TPAMI.2006.244
2. Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L., (2008). Speeded-up robust features (SURF). Computer Vision and Image Understanding, 110, 346–359.10.1016/j.cviu.2007.09.014
3. Bebis, G., Gyaourova, A., Singh, S., & Pavlidis, I., (2006). Face recognition by fusing thermal infrared and visible imagery. Image and Vision Computing, 24, 727–742.10.1016/j.imavis.2006.01.017
4. Buddharaju, P., & Pavlidis, I., (2007). Multispectral face recognition:Fusion of visual imagery with physiological information. In Face biometrics for personal identification, Multi-Sensory Multi-Modal Systems, eds. R. I., Hammoud, B. R., Abidi and M. A., Abidi (pp. 91–108). Springer.
5. Buddharaju, P., Pavlidis, I., & Manohar, C., (2008). Face recognition beyond the visible spectrum. In Advances in Biometrics:Sensors, Algorithms and Systems, (pp. 157–180). Springer.
6. Buddharaju, P., Pavlidis, I., & Tsiamyrtzis, P. (2006). Pose-invariant physiological face recognition in the thermal infrared spectrum. Paper presented at the Computer Vision and Pattern Recognition Workshop. CVPRW’06. Conference on.
7. Buddharaju, P., Pavlidis, I. T., & Tsiamyrtzis, P. (2005). Physiology-based face recognition. Paper presented at the Advanced Video and Signal Based Surveillance. AVSS 2005. IEEE Conference on.
8. Chen, X., Flynn, P. J., & Bowyer, K. W., (2003). PCA-based face recognition in infrared imagery:Baseline and comparative studies. Paper presented at the Analysis and Modeling of Faces and Gestures. AMFG 2003. IEEE International Workshop on.
9. Chen, J., Shan, S., He, C., Zhao, G., Pietikainen, M., Chen, X., & Gao, W., (2010). WLD:A robust local image descripto. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32, 1705–1720.10.1109/TPAMI.2009.155
10. Cho, S.-Y., Wang, L., & Ong, W. J., (2009). Thermal imprint feature analysis for face recognition. Paper presented at the Industrial Electronics. ISIE 2009. IEEE International Symposium on.10.1109/ISIE.2009.5222105
11. Desa, S. M., & Hati, S. (2008). IR and visible face recognition using fusion of kernel based features. Paper presented at the Pattern Recognition. ICPR 2008. 19th International Conference on.
12. Equinox. (2012). Equinox Database. Retrieved January 2012, from http://www.equinoxsensors.com/products/HID.html
13. Evans, C., (2009). OpenSURF library from Matlab. Retrieved October 2011, from http://www.mathworks.com/matlabcentral/fileexchange/28300-opensurf-including-image-warp
14. Gade, R., & Moeslund, T. B., (2014). Thermal cameras and applications:A survey. Machine Vision and Applications, 25, 245–262.10.1007/s00138-013-0570-5
15. Ghiass, R. S., Arandjelovic, O., Bendada, H., & Maldague, X., (2013a). Illumination-invariant face recognition from a single image across extreme pose using a dual dimension AAM ensemble in the thermal infrared spectrum. Paper presented at the Neural Networks (IJCNN), The 2013 International Joint Conference on.10.1109/IJCNN.2013.6707095
16. Ghiass, R. S., Arandjelovic, O., Bendada, H., & Maldague, X., (2013b). Vesselness features and the inverse compositional AAM for robust face recognition using thermal IR. arXiv preprint arXiv:1306.1609.
17. Hanmandlu, M., (2014). Robust authentication using the unconstrained infrared face images. Expert Systems with Applications, 41, 6494–6511.
18. Hermosilla, G., Ruiz-del-Solar, J., Verschae, R., & Correa, M., (2012). A comparative study of thermal face recognition methods in unconstrained environments. Pattern Recognition, 45, 2445–2459.10.1016/j.patcog.2012.01.001
19. James, A. P., & Dasarathy, B. V., (2014). Medical image fusion:A survey of the state of the art. Information Fusion, 19, 4–19.10.1016/j.inffus.2013.12.002
20. Jones, M. J., & Rehg, J. M., (2002). Statistical color models with application to skin detection. International Journal of Computer Vision, 46, 81–96.10.1023/A:1013200319198
21. Lowe, D. G., (2004). Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 60, 91–110.10.1023/B:VISI.0000029664.99615.94
22. Mangai, U. G., Samanta, S., Das, S., & Chowdhury, P. R., (2010). A survey of decision fusion and feature fusion strategies for pattern classification. IETE Technical Review, 27, 293–307.10.4103/0256-4602.64604
23. Mendez, H., San Martin, C., Kittler, J., Plasencia, Y., & Garcia-Reyes, E., (2009). Face recognition with LWIR imagery using local binary patterns, Advances in Biometrics, Volume 5558 of the series “http://link.springer.com/bookseries/558”. Lecture Notes in Computer Science, (pp. 327–336). Springer.
24. Mostafa, E., Hammoud, R., Ali, A., & Farag, A., (2013). Face recognition in low resolution thermal images. Computer Vision and Image Understanding, 117, 1689–1694.10.1016/j.cviu.2013.07.010
25. Nigam, I., Vatsa, M., & Singh, R., (2015). Ocular biometrics:A survey of modalities and fusion approaches. Information Fusion, 26, 1–35.10.1016/j.inffus.2015.03.005
26. Pop, F. M., Gordan, M., Florea, C., & Vlaicu, A., (2010). Fusion based approach for thermal and visible face recognition under pose and expresivity variation. Paper presented at the Roedunet International Conference (RoEduNet), 2010 9th.
27. Qi, H., & Diakides, N. A., (2009). Thermal infrared imaging in early breast cancer detection - A survey of recent research. In Augmented Vision Perception in Infrared, Advances in Pattern Recognition (pp. 139–152). Springer.
28. Ruiz-del-Solar, J., Loncomilla, P., & Devia, C., (2007). A new approach for fingerprint verification based on wide baseline matching using local interest points and descriptors. In Advances in Image and Video Technology, Lecture Notes in Computer Science, Volume 4872 (pp. 586–599). Springer.
29. Ruiz-del-Solar, J., Verschae, R., & Correa, M., (2009). Recognition of faces in unconstrained environments:A comparative study. EURASIP Journal on Advances in Signal Processing, special issue, Recent Advances in Biometric Systems:A Signal Processing Perspective, Vol 2009 (pp. 1-19).
30. Shoja Ghiass, R., Arandjelović, O., Bendada, A., & Maldague, X., (2014). Infrared face recognition:A comprehensive review of methodologies and databases. Pattern Recognition, 47, 2807–2824.10.1016/j.patcog.2014.03.015
31. Socolinsky, D., Wolff, L. B., Neuheisel, J. D., & Eveland, C. K., (2001). Illumination invariant face recognition using thermal infrared imagery. Paper presented at the Computer Vision and Pattern Recognition. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on.
32. Socolinsky, D. A., & Selinger, A., (2002). A comparative analysis of face recognition performance with visible and thermal infrared imagery. In Proc. Int. Conf. Pattern Recognition (ICPR), Quebec (pp. 217–222).
33. Socolinsky, D. A., & Selinger, A., (2004). Thermal face recognition over time. Paper presented at the Pattern Recognition. ICPR 2004. Proceedings of the 17th International Conference on.
34. UCHThermalFace. (2014). UCHThermalFace Database. Retrieved January 2014, from http://vision.die.uchile.cl/dbThermal
35. Vidas, S., Moghadam, P., & Bosse, M., (2013). 3D thermal mapping of building interiors using an RGB-D and thermal camera. Paper presented at the Robotics and Automation (ICRA), 2013 IEEE International Conference on.
36. Wong, W. K., Tan, P. N., Loo, C. K., & Lim, W. S., (2009). An effective surveillance system using thermal camera. Paper presented at the Signal Acquisition and Processing. ICSAP 2009. International Conference on.
37. Yager, R. R., (1988). On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Transactions on Systems, Man, and Cybernetics, 18, 183–190.10.1109/21.87068
38. Zheng, Y., (2010). A novel thermal face recognition approach using face pattern words. Proc. SPIE 7667, Biometric Technology for Human Identification VII, 766703 (April 14, 2010); doi:10.1117/12.850664
39. Zheng, Y., & Elmaghraby, A. (2011). A brief survey on multispectral face recognition and multimodal score fusion. Paper presented at the Signal Processing and Information Technology (ISSPIT). IEEE International Symposium on.
40. Zou, J., Ji, Q., & Nagy, G., (2007). A comparative study of local matching approach for face recognition. IEEE Transactions on Image Processing, 16, 2617–2628.10.1109/TIP.2007.904421