Thermal face recognition using local patterns

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8827, Issue , 2014, Pages 486-497

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

^a PONTIFICIA UNIVERSIDAD CATÓLICA DE VALPARAÍSO   (Chile)

^b UNIVERSIDAD DE LA FRONTERA   (Chile)

Author keywords

Face recognition; Local Binary Pattern; Local Derivative Pattern; Thermal face recognition

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

COMPARATIVE STUDIES; EVALUATION METHODOLOGIES; FACE RECOGNITION SYSTEMS; LOCAL BINARY PATTERNS; LOCAL DERIVATIVE PATTERN; RECOGNITION METHODS; THERMAL SPECTRA; VISIBLE SPECTRA;

FACE RECOGNITION;

EID: 84949114943     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-12568-8_60     Document Type: Conference Paper

References (16)

1. Selinger, A., Socolinsky, D.: Appearance-Based Facial Recognition Using Visible and Thermal Imagery: A Comparative Study, Tech. Rep. Equinox Corporation (2001).
2. Socolinsky, D., Selinger, A.: A comparative analysis of face recognition performance with visible and thermal infrared imagery. In: Proc. of the Int. Conf. on Pattern Recognition (ICPR), Quebec, Canada, pp. 217-222 (2002).
3. Narendra, P.: Reference-free Nonuniformity Compensation for IR Imaging Array. Proc. of the SPIE 252, 10-17 (1980).
4. Chen, X., Flynn, P., Bowyer, K. W.: PCA-Based face recognition in infrared imagery: Baseline and comparative studies. In: IEEE Int. Workshop on Analysis and Modeling of Faces and Gestures, Nice, France, pp. 127-134 (2003).
5. Buddharaju, P., Pavlidis, I., Kakadiaris, I.: Physiology-Based Face Recognition. In: Proc. of the IEEE Conf. on Advanced Video and Signal Based Surveillance, Lake Como, Italy, pp. 354-359 (2005).
6. Socolinsky, D., Selinger, A.: Thermal Face Recognition Over Time. In: Proc. of the, 17th Int. Conf. on Pattern Recognition, ICPR 2004, vol. 4, pp. 187-190 (2004).
7. Hermosilla, G., Ruiz-del-Solar, J., Verschae, R., Correa, M.: A Comparative Study of Thermal Face Recognition Methods in Unconstrained Environments. Pattern Recognition 45(7), 2445-2459 (2012).
8. Ahonen, T., Hadid, A., Pietikainen, M.: Face Description with Local Binary Patterns: Application to Face Recognition. IEEE Trans. on Patt. Analysis and Machine Intell. 28(12), 2037-2041 (2006).
9. Chen, J., Shan, S.: WLD: A Robust Local Image Descriptor. IEEE Trans. on Pattern Analysis and Machine Intelligence 32(9), 1705-1720 (2010).
10. Zou, J., Ji, Q., Nagy, G.: A Comparative Study of Local Matching Approach for Face Recognition. IEEE Trans. on Image Processing 16(10), 2617-2628 (2007).
11. Lowe, D.: Distinctive Image Features from Scale-Invariant Keypoints. International Journal of Computer Vision 60(2), 91-110 (2004).
12. Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: SURF: Speeded Up Robust Features. Computer Vision and Image Understanding (CVIU) 110(3), 346-359 (2008).
13. Zhang, B., Gao, Y., Zhao, S., Liu, J.: Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor. IEEE Transactions on Image Processing 19(2), 533-544 (2010).
14. Ruiz-del-Solar, J., Verschae, R., Correa, M.: Recognition of Faces in Unconstrained Environments: A Comparative Study. EURASIP J. Adv. Signal Process 2009, 1-19 (2009).
15. Wu, S., Song, W., Jiang, L.: Infrared face recognition by using blood perfusion data. In: Proceedings of Audio-and Video-based Biometric Person Authentication, Rye Brook, NY, USA, pp. 320-328 (2005).
16. Lan, W.: Face Recognition System Based on Spatial Constellation Model and Support Vector Machine, Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Master's Thesis (2010).