Fusion of visible and thermal descriptors using genetic algorithms for face recognition systems

Sensors (Switzerland)

Volumn 15, Issue 8, 2015, Pages 17944-17962

  Hermosilla, Gabriel ^a   Gallardo, Francisco ^a   Farias, Gonzalo ^a   Martin, Cesar San ^b  

^a PONTIFICIA UNIVERSIDAD CATÓLICA DE VALPARAÍSO   (Chile)

^b UNIVERSIDAD DE LA FRONTERA   (Chile)

Author keywords

Face recognition; Fusion descriptors; Genetic algorithms; Visible and infrared spectrum

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; GENETIC ALGORITHMS; IMAGE MATCHING;

DESCRIPTORS; FACE RECOGNITION METHODS; FACE RECOGNITION RATES; FACE RECOGNITION SYSTEMS; FACIAL EXPRESSIONS; FUSION METHODOLOGY; FUSION TECHNIQUES; VISIBLE-AND-INFRARED SPECTRUMS;

FACE RECOGNITION;

ALGORITHM; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; FACE; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; PROCEDURES; REPRODUCIBILITY; TEMPERATURE;

ALGORITHMS; DATABASES, FACTUAL; FACE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; TEMPERATURE;

EID: 84937933814     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s150817944     Document Type: Article

References (31)

1. Akhloufi, M.; Bendada, A.; Batsale, J.C. State of the art in infrared face recognition. Quant. InfraRed Thermogr. J. 2008, 5, 3-26.
2. FLIR, The Ultimate Infrared Handbook for R&D Professionals. Available online: http://www.flirmedia.com/MMC/THG/Brochures/T559243/T559243_EN.pdf (accessed on 22 July 2015).
3. Chen, X.; Flynn, P.J.; Bowyer, K.W. PCA-based face recognition in infrared imagery: Baseline and comparative studies. In Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG 2003), Nice, France, 17 October 2003; pp. 127-134.
4. Socolinsky, D.; Selinger, A. Thermal Face Recognition over Time. In Proceedings of the 17th International Conference on Pattern Recognition (ICPR'04), 23-26 August 2004; Volume 4, pp. 187-190.
5. Holland, J.H. Adaptation in Natural and Artificial Systems; MIT Press: Cambridge, MA, USA, 1992.
6. Sastry, K.; Goldberg, D.E.; Kendall, G. Search Methodologies: Introductory Tutorials in Optimization, Search and Decision Support Techniques; Burke, E., Kendall, G., Eds.; Springer: Berlin, Germany, 2005.
7. Hermosilla, G.; Ruiz-del-Solar, J.; Verschae, R.; Correa, M. A Comparative Study of Thermal Face Recognition Methods in Unconstrained Environments. Pattern Recognit. 2012, 45, 2445-2459.
8. Ruiz-del-Solar, J.; Verschae, R.; Correa, M. Recognition of Faces in Unconstrained Environments: A Comparative Study. EURASIP J. Adv. Signal Process. 2009, 2009, 1-19.
9. Selinger, A.; Socolinsky, D. Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A Comparative Study. Technical Report; Equinox Corporation: New York, NY, USA, 2001.
10. Socolinsky, D.; Selinger, A. A comparative analysis of face recognition performance with visible and thermal infrared imagery. In Proceedings of the 16th International Conference on Pattern Recognition (ICPR), Quebec, QC, Canada, 11-15 August 2002; pp. 217-222.
11. Zou, J.; Ji, Q.; Nagy, G. A Comparative Study of Local Matching Approach for Face Recognition. IEEE Trans. Image Process. 2007, 16, 2617-2628.
12. Hermosilla, G.; Farias, G.; Vargas, H.; Gallardo, F.; San-Martin, C. Thermal Face Recognition Using Local Patterns. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications; Lecture Notes in Computer Science; Springer: Puerto Vallarta, Jalisco, Mexico, 2014; Volume 8827, pp. 486-497.
13. Ahonen, T.; Hadid, A.; Pietikainen, M. Face Description with Local Binary Patterns: Application to Face Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 2006, 28, 2037-2041.
14. Chen, J.; Shan, S.; He, C.; Zhao, G.; Pietikäinen, M.; Chen, C.X.; Gao, W. WLD: A Robust Local Image Descriptor. IEEE Trans. Pattern Anal. Mach. Intell. 2010, 32, 1705-1720.
15. Zhang, B.; Gao, Y.; Zhao, S.; Liu, J. Local Derivative Pattern Versus Local Binary Pattern: Face Recognition with High-Order Local Pattern Descriptor. IEEE Trans. Image Process. 2010, 19, 533-544.
16. Dalal, N.; Triggs, B. Histograms of Oriented Gradients for Human Detection. In Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, USA, 25 June 2005; Volume 1, pp. 886-893.
17. Deniz, O.; Bueno, G.; Salido, J.; de la Torre, F. Face recognition using histograms of oriented gradients. Pattern Recognit. Lett. 2011, 32, 1598-1603.
18. Bebis, G.; Gyaourova, A.; Singh, S.; Pavlidis, I. Face recognition by fusing thermal infrared and visible imagery. Image Vis. Comput. 2006, 24, 727-742.
19. Desa, S.; Hati, S. IR and Visible Face Recognition using Fusion of Kernel Based Features. In Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), Tampa, FL, USA, 8-11 December 2008; pp. 1-4.
20. Kwon, O.K.; Kong, S.G. Multiscale fusion of visual and thermal images for robust face recognition. In Proceedings of the IEEE International Conference Computational Intelligence for Homeland Security and Personal Safety, Orlando, FL, USA, 31 March-1 April 2005; Volume IV, pp. 112-116.
21. Abidi, B.; Huq, S.; Abidi, M. Fusion of visual, thermal, and range as a solution to illumination and pose restrictions in face recognition. In Proceedings of the IEEE International Carnahan Conference on Security Technology, Albuquerque, NM, USA, 11-14 October 2004; pp. 325-330.
22. Pop, F.M.; Gordan, M.; Florea, C.; Vlaicu, A. Fusion based approach for thermal and visible face recognition under pose and expresivity variation. In Proceedings of the Roedunet International Conference (RoEduNet), Sibiu, Romania, 24-26 June 2010; pp. 61-66.
23. Erkanli, S.; Li, J.; Oguslu, E. Fusion of Visual and Thermal Images Using Genetic Algorithms. In Bio-Inspired Computational Algorithms and Their Applications; Gao S., Ed.; InTech: Rijeka, Croatia, 2012.
24. Equinox Corporation. Available online: http://www.equinoxsensors.com/products/HID.html (accessed on 1 March 2011).
25. Socolinsky, D.; Wolff, L.; Neuheisel, J.; Eveland, C. Illumination invariant face recognition using thermal infrared imagery. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Kauai, HI, USA, 8-14 December, 2001; Volume 1, pp. I-527-I-534.
26. PUCV-VTF database. Available online: http://goo.gl/5bWnYp. (accessed on 22 July 2015).
27. PS3 eye camera. Available online: http://us.playstation.com/ps3/accessories/playstation-eye-cameraps3. html (accessed on 5 March 2015).
28. IR Camera FLIR TAU 2. Available online: http://www.flir.com/cvs/cores/uncooled/products/tau (accessed on 22 July 2015).
29. Jothi, J.A.A.; Rajam, V.M.A. Segmentation of Nuclei from Breast Histopathology Images Using PSO-based Otsu's Multilevel Thresholding. In Artificial Intelligence and Evolutionary Algorithms in Engineering Systems; Advances in Intelligent Systems and Computing; Springer, Kumaracoil, India, 2015; Volume 325, pp. 835-843.
30. Liu, H.; Hsu, S.; Huang, C. Single-sample-per-person-based face recognition using fast Discriminative Multi-manifold Analysis. In Proceedings of the Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA), Siem Reap, Cambodia, 9-12 December 2014; pp. 1-9.
31. Hu, S.; Choi, J.; Chan, A.; Schwartz, W. Thermal-to-visible face recognition using partial least squares. J. Opt. Soc. Am. 2015, 32, 431-442.