Image-quality-based adaptive face recognition

IEEE Transactions on Instrumentation and Measurement

Volumn 59, Issue 4, 2010, Pages 805-813

  Sellahewa, Harin ^a   Jassim, Sabah A ^a  

^a UNIVERSITY OF BUCKINGHAM   (United Kingdom)

Author keywords

Biometrics; Face recognition; Illumination; Quality measures; Wavelet transforms (WTs)

Indexed keywords

ADAPTIVE APPROACH; ADVERSE EFFECT; AUTOMATED FACE RECOGNITION; DESCRIPTORS; DIFFERENT SCALE; FACE IMAGES; FACE REPRESENTATIONS; FACIAL FEATURE; FEATURE REPRESENTATION; HIGH FREQUENCY HF; HISTOGRAM EQUALIZATIONS; ILLUMINATION; ILLUMINATION INVARIANT; ILLUMINATION NORMALIZATION; INTRA-CLASS VARIATION; LIGHTING CONDITIONS; MATCH SCORE; MULTI-STREAM; MULTIRESOLUTION PROPERTY; QUALITY MEASURES; RECOGNITION ACCURACY; REFERENCE IMAGE; VARYING LIGHTING; WAVELET SUBBANDS;

BIOMETRICS; FEATURE EXTRACTION; GRAPHIC METHODS; IMAGE QUALITY; LIGHTING; WAVELET TRANSFORMS;

FACE RECOGNITION;

EID: 77949424717     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2009.2037989     Document Type: Article

References (28)

1. K. Kryszczuk, J. Richiardi, P. Prodanov, and A. Drygajlo, "Error handling in multimodal biometric systems using reliability measures," in Proc. 13th EUSIPCO, Sep. 2005.
2. P. Grother and E. Tabassi, "Performance of biometric quality measures," IEEE Trans. Pattern Anal. Mach. Intell., vol.29, no.4, pp. 531-543, Apr. 2007.
3. J. H. Lai, P. C. Yuen, and G. C. Feng, "Face recognition using holistic Fourier invariant features," Pattern Recognit., vol.34, no.1, pp. 95-109, Jan. 2001.
4. J.-T. Chien and C.-C.Wu, "Discriminant wavelet faces and nearest feature classifiers for face recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol.24, no.12, pp. 1644-1649, Dec. 2002.
5. H. Sellahewa and S. Jassim, "Wavelet-based face verification for constrained platforms," in Proc. SPIE Biometric Technol. Human Identification II, Mar. 2005, vol.5779, pp. 173-183.
6. H. K. Ekenel and B. Sankur, "Multiresolution face recognition," Image Vis. Comput., vol.23, no.5, pp. 469-477, May 2005.
7. H. Sellahewa, "Wavelet-based automatic face recognition for constrained devices," Ph.D. dissertation, Univ. Buckingham, Buckingham, U.K., 2006.
8. S. A. Jassim and H. Sellahewa, "Multi-stream face recognition on dedicated mobile devices for crime-fighting," in Proc. SPIE Opt. Photon. Counterterrorism Crime Fighting II, Sep. 2006, vol.6402, p. 640 2OP.
9. H. Sellahewa and S. A. Jassim, "Illumination and expression invariant face recognition: Toward sample quality-based adaptive fusion," in Proc. 2nd IEEE Int. Conf. Biometrics, Theory, Appl. Syst., Sep. 2008, pp. 1-6.
10. R. Brunelli and T. Poggio, "Face recognition: Feature vs. templates," IEEE Trans. Pattern Anal. Mach. Intell., vol.15, no.10, pp. 1042-1053, Oct. 1993.
11. L. Wiskott, J.-M. Fellous, N. Krüger, and C. Von Der Malsburg, "Face recognition by elastic bunch graph matching," in Proc. 7th Int. Conf. CAIP, G. Sommer, K. Daniilidis, and J. Pauli, Eds., Kiel, Germany, 1997, vol.1296, pp. 456-463.
12. A. S. Georghiades, D. J. Kriegman, and P. N. Belhumeur, "Illumination cones for recognition under variable lighting: faces," in Proc. IEEE Comput. Vis. Pattern Recog., 1998, pp. 52-58.
13. A. S. Georghiades, P. N. Belhumeur, and D. J. Kriegman, "From few to many: Illumination cone models for face recognition under variable lighting and pose," IEEE Trans. Pattern Anal. Mach. Intell., vol.23, no.6, pp. 643-660, Jun. 2001.
14. T. Okabe and Y. Sato, "Object recognition based on photometric alignment using RANSAC," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Jun. 2003, vol.1, pp. 221-228.
15. K.-C. Lee, J. Ho, and D. J. Kriegman, "Acquiring linear subspaces for face recognition under variable lighting," IEEE Trans. Pattern Anal. Mach. Intell., vol.27, no.5, pp. 684-698, May 2005.
16. P. W. Hallinan, "A low-dimensional representation of human faces for arbitrary lighting conditions," in Proc. IEEE Conf. Comput. Vis. Pattern Recog., Jun. 1994, pp. 995-999.
17. A. Shashua, "On photometric issues in 3D visual recognition from a single 2D image," Int. J. Comput. Vis., vol. 21, no. 1/2, pp. 99-122, Jan. 1997.
18. P. N. Belhumeur and D. J. Kriegman, "What is the set of images of an object under all possible lighting conditions?" in Proc. IEEE Conf. Comput. Vis. Pattern Recog., 1996, pp. 270-277.
19. M. Turk and A. Pentland, "Eigenfaces for recognition," J. Cogn. Neurosci., vol.3, no.1, pp. 71-86, 1991.
20. P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell., vol.19, no.7, pp. 711-720, Jul. 1997.
21. K. Etemad and R. Chellappa, "Discriminant analysis for recognition of human face images," J. Opt. Soc. Amer. A, Opt. Image Sci., vol.14, no.8, pp. 1724-1733, Aug. 1997.
22. S. Shan, W. Gao, B. Cao, and D. Zhao, "Illumination normalization for robust face recognition against varying lighting conditions," in Proc. IEEE Int. Workshop Anal. Model. Faces Gestures, 2003, pp. 157-164.
23. R. Gross and V. Brajovi, "An image preprocessing algorithm for illumination invariant face recognition," in Proc. 4th Int. Conf. AVBPA Audio-, Video-Based Biometric Person Authentication, Jun. 2003, pp. 11-18.
24. H. Sellahewa and S. Jassim, "Face recognition in the presence of expression and/or illumination variation," in Proc. 4th IEEE Workshop Autom. Identification Adv. Technol. AutoID, Oct. 2005, pp. 144-148.
25. S. G. Mallat, "A theory for multiresolution signal decomposition: The wavelet representation," IEEE Trans. Pattern Anal. Mach. Intell., vol.11, no.7, pp. 674-693, Jul. 1989.
26. I. Daubechies, Ten Lectures onWavelets. Philadelphia, PA: SIAM, 1992.
27. Z.Wang and A. C. Bovik, "A universal image quality index," IEEE Signal Process. Lett., vol.9, no.3, pp. 81-84, Mar. 2002.
28. [Online]. Available: www.cl.cam.ac.uk/research/dtg/attarchive/ facedatabase.html