UGC-JU face database and its benchmarking using linear regression classifier

Multimedia Tools and Applications

Volumn 74, Issue 9, 2015, Pages 2913-2937

  Seal, Ayan ^a   Bhattacharjee, Debotosh ^a   Nasipuri, Mita ^a   Basu, Dipak Kr ^a  

^a JADAVPUR UNIVERSITY   (India)

Author keywords

Decision level fusion; Face database; GappyPCA; LRC classifier; Thermal face images; Visual images

Indexed keywords

BENCHMARKING; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; IMAGE RECOGNITION; PRINCIPAL COMPONENT ANALYSIS;

DECISION LEVEL FUSION; FACE DATABASE; FACE IMAGES; GAPPYPCA; VISUAL IMAGE;

FACE RECOGNITION;

EID: 84928376423     PISSN: 13807501     EISSN: 15737721     Source Type: Journal    
DOI: 10.1007/s11042-013-1754-8     Document Type: Article

References (51)

1. Alyüz N, Gökberk B, Dibeklioğlu H, Savran A, Salah AA, Akarun L, Sankur B. “3D face recognition benchmarks on the bosphorus database with focus on facial expressions”. The First COST 2101 Workshop on Biometrics and Identity Management (BIOID 2008), Roskilde University, Denmark, pp 1–10, May 2008
2. Balci K, Atalay V (2002) “PCA for gender estimation: which eigenvectors contribute?” In: Proceedings of Sixteenth International Conference on Pattern Recognition, vol. 3. Quebec City, Canada, pp 363–366
3. Barsi R, Jacobs D (2003) Lambertian reflection and linear subspaces. IEEE Trans Pattern Anal Mach Intell 25(2):218–233
4. Belhumeur P, Hespanha J, Kriegman D (1997) Eigenfaces vs. fisherfaces: class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711–720
5. Belhumeur PN, Hespanha JP, Kriegman DJ (1997) Eigenfaces vs. fisherfaces: recognition using class specific linear projection. IEEE Trans Pattern Anal Mach Intell 19(7):711–720
6. Bhattacharjee D, Seal A, Ganguly S, Nasipuri M, Basu DK (2012) “A comparative study of human thermal face recognition based on Haar wavelet transform (HWT) and Local Binary Pattern (LBP)”. Comput Intell Neurosci:1–12
7. Bhowmik MK, Bhattacharjee D, Nasipuri M, Basu DK, Kundu M. “Classification of polar-thermal eigenfaces using multilayer perceptron for human face recognition”. In: Proceedings of the 3rd IEEE Conference on Industrial and Information Systems (ICIIS-2008), pp 118, Dec. 8–10, 2008
8. Bronstein A, Bronstein M, Gordon E, Kimmel R (2003) “Expression-invariant 3D face recognition.” Audio and Video based Person Authentication (AVBPA 2003), LCNS 2688, J. Kittler and M. Nixon, eds., pp 62–70
9. Brunelli R, Poggio T (1992) “HyperBF networks for gender classification.” Proceedings of DARPA Image Understanding Workshop, pp 311–314
10. Buddharaju P, Pavlidis I, Kakadiaris I. “Face recognition in the thermal infrared spectrum”. Proceedings of the 2004 I.E. Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW’04)
11. Chen X, Flynn PJ, Bowyer KW (2003) PCA-based face recognition in infrared imagery: baseline and comparative studies. Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG’03), 2003
12. Chen Y-T, Wang M-S (2002) Human face recognition using thermal image. J Med Biol Eng 22(2):97–102
13. Colmenarez A, Frey BJ, Huang TS (1999) “A probabilistic framework for embedded face and facial expression recognition”. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 1. Ft. Collins, CO, USA, pp 1592–1597
14. Cutler R. “Face recognition using infrared images and eigenfaces,” http://citeseer.ist.psu.edu/cutler96face.html, April, 1996, visited July 2007
15. Everson R, Sirovich L (1995) “Karhunen-Loeve procedure for gappy data.” J Opt Soc Am A:1657–1664
16. Gong S, Mckenna SJ, Psarrou A (2000) “Dynamic vision: from images to face recognition”. ImperCooege Press
17. Gonzalez RC, Woods RE. Digital image processing, 3rd edn. Prentice Hall
18. Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning; data mining, inference and prediction. Springer
19. Hearn D, Baker MP. Computer graphics C version, 2nd edn. Prentice Hall
20. Hermosilla G, Loncomilla G, Ruiz-del-Solar J. “Thermal face recognition using local interest points and descriptors for HRI applications” Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE Computer Society Conference, June 2010
21. Hermosilla G, Loncomilla P, Ruiz-del-Solar J. “Thermal face recognition using local interest points and descriptors for HRI applications” Computer Vision and Pattern Recognition Workshops (CVPRW), IEEE Computer Society, pp 25–35, June 2010
22. Intelligent Multimedia Lab (2001) “Asian face image database PF01”, Technical Report (department of Computer Science and Engineering, Pohang University of Science and Technology, Korea), pp 1–9
23. Kim K (2005) “Intelligent immigration control system by using passport recognition and face verification”. In: International Symposium on Neural Networks. Chongqing, China, pp 147–156
24. Leonardis A, Bischof H (2000) Robust recognition using eigenimages. Comput Vis Image Underst 78(1):99–118
25. Li J, Hao P, Zhang C, Dou M (2008) “Hallucinating faces from thermal infrared images”. Proceedings of Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on San Diego, CA, pp 465–468, doi:10.1109/ICIP.2008.4711792
26. Liu JNK, Wang M, Feng B (2005) iBotGuard: an internet-based intelligent robot security system using invariant face recognition against intruder. IEEE Trans Syst Man Cybern Part C Appl Rev 35:97–105
27. Martinez AM, Benavente R. “The AR face database”. CVC Technical Report #24, June 1998
28. Martinez B, Binefa X, Pantic M (2010) “Facial component detection in thermal imagery”. IEEE computer society conference on computer vision and pattern recognition workshops(CVPRW), pp 48–52
29. Messar K, Matas J, Kittler J, Luettin J, Maitre G. “Xm2vtsdb: the extended m2vts database”. Second International Conference on Audio and video-based Biometric Person Authentication, pp 72–77, March 1999
30. Moghaddam B, Yang MH (2002) Learning gender with support faces. IEEE Trans Pattern Anal Mach Intell 24:707–711
31. Moon H (2004) “Biometrics person authentication using projection-based face recognition system in verification scenario”. In: International conference on bioinformatics and its applications. Hong Kong, China, pp 207–213
32. Morse BS. Lecture 2: “image processing review, neighbors, connected components, and distance”, 1998–2004
33. Naseem I, Togneri R, Bennamoun M (2010) Linear regression for face recognition. IEEE Trans Pattern Anal Mach Intell (IEEE TPAMI) 32(11):2106–2112
34. Phillips PJ, Moon H, Rauss PJ, Rizvi S (2000) The FERET evaluation methodology for face recognition algorithms. IEEE Trans Pattern Anal Mach Intell 22(10):1090–1104
35. Prokoski F (2000) History, current status, and future of infrared identification. In: Proceedings of the IEEE Workshop Computer Vision Beyond Visible Spectrum: Methods and Applications. pp 5–14
36. Prokoski FJ, Riedel RB, Coffin JS (1992) “Identification of individuals by means of facial thermography.” In: Proceedings of the IEEE 1992 International Carnahan Conference on Security Technology: Crime Countermeasures, Atlanta, GA, USA 14–16 Oct., pp 120–125, IEEE
37. Ryan TP (1997) Modern regression methods. Wiley-Interscience
38. Samaria F, Harter A (1994) “Parameterisation of a stochastic model for human face identification”. Proc. of 2nd IEEE Workshop on Applications of Computer Vision, Sarasota, FL, pp 138–142
39. Seal A, Ganguly S, Bhattacharjee D, Nasipuri M, Basu DK (2013) Automated thermal face recognition based on minutiae extraction. Int J Comput Intell Stud 2(2):133–156
40. Seber GAF (2003) Linear regression analysis. Wiley-Interscience
41. Selinger A, Socolinsky DA. “Appearance- based facial recognition using visible and thermal imagery: a comparative study.” Equinox Corporation, Technical Report 02-01 February 2002
42. OTCBVS WS Series Bench; Davis J, Keck M. “A two stage template approach to person detection in thermal imagery.” In: Proc. Workshop on Applications of Computer Vision, pp 364–369, Jan., 2005
43. Shinohara Y, Otsu N (2004) “Facial expression recognition using fisher weight maps”. In: Sixth IEEE International Conference on Automatic Face and Gesture Recognition, vol. 100, pp 499–504
44. Socolinsky D, Wolff L, Neuheisel J, Eveland C (2001) “Illumination invariant face recognition using thermal infrared imagery.” In: IEEE Computer Society International Conference on Computer Vision and Pattern Recognition, vol. 1. Kauai, HI, USA, pp 527–534
45. Staudte RG, Sheather SJ (1990) Robust estimation and testing. Wiley-Interscience
46. Trujillo L, Olague G, Hammoud R, Hernandez B (2005) Automatic feature localization in thermal images for facial expression recognition. Proceeding of CVPR’05 Proceedings of the 2005 I.E. Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), ISBN:0-7695-2372-2-3, Washington, DC, USA, 2005
47. Trujillo L, Olague G, Hammoud R, Hernandez B (2005) Automatic feature localization in thermal images for facial expression recognition, Proceedings of the 2005 I.E. Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’05), p 14, ISBN:0-7695-2372-2-3, Washington, DC, USA, 2005
48. Turk M, Pentland A (1991) Eigenfaces for recognition. J Cogn Neurosci 3(1):71–86
49. Venkatesan S, Madane SSR (2010) Face recognition system with genetic algorithm and ANT colony optimization. Int J Innov Manag Technol 1(5):469–471
50. Wright J, Ma Y, Mairal J, Sapiro G, Huang TS, Yan S (2010) Sparse representation for computer vision and pattern recognition. Proc IEEE 98(6):1031–1044
51. Yoshitomi Y, Miyaura T, Tomita S, Kimura S (1997) Face identification using thermal image processing. Proc IEEE Int Work Robot Hum Commun:374–379