HERO: Human Ear Recognition against Occlusions

2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010

Volumn , Issue , 2010, Pages 178-183

  De Marsico, Maria ^a   Nappi, Michele ^b   Daniel, Riccio ^b  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF SALERNO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRIC IDENTIFIERS; CONTROLLED CONDITIONS; EAR RECOGNITION; ENVIRONMENTAL CONDITIONS; HUMAN EAR; NONLINEAR TECHNIQUES; PARTIAL OCCLUSIONS; PCA (PRINCIPAL COMPONENT ANALYSIS); RECOGNITION RATES;

BIOMETRICS; COMPUTER VISION; PRINCIPAL COMPONENT ANALYSIS; TECHNICAL PRESENTATIONS;

FEATURE EXTRACTION;

EID: 77956510667     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2010.5544623     Document Type: Conference Paper

References (14)

1. I. A. Ear identification. In Forensic Identification Series, Paramont Publishing Company, 1989.
2. Y. Chahir and L. Chen. Peano key rediscovery for contentbased retrieval of images. In Proceedings of the Multimedia Storage and Archiving Systems II, volume 229, pages 172- 181, 1997.
3. C. D., H. X., H. J., and Z. H.-J. Orthogonal laplacianfaces for face recognition. IEEE Transactions on Image Processing, 15:3608-3614, November 2006.
4. S. D.L. and W. J.J. Using discriminant eigenfeatures for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18:831-836, August 1996.
5. P. Flynn. Notre dame ear database, und principal investigator: Professor patrick flynn, computer science and engineering, university of notre dame, notre dame. Website, 2007- 01-07.
6. R. L. Graham, D. E. Knuth, and O. Patashnik. Concrete Mathematics: A Foundation for Computer Science. Addison-Wesley Longman Publishing Co., Inc., Boston, MA, USA, 1994.
7. A. K. Jain, M. N. Murty, and P. J. Flynn. Data clustering: a review. ACM Comput. Surv., 31(3):264-323, September 1999.
8. C. K., B. K. W., S. S., and V. B. Comparison and combination of ear and face images in appearance-based biometrics. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25:1160-1165, September 2003.
9. P. K.H. and M. Y.S. Recent advances in ear biometrics. In Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR04), 2004.
10. D. M. M., N. M., and R. D. Faro: Face recognition against occlusions and expression variations. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans, 40:121-132, January 2010.
11. V. P. and J. M. Rapid object detection using a boosted cascade of simple features. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pages 511-518, 2001.
12. P. P.J., W. H., H. J., and R. P. The feret database and evaluation procedure for face recognition algorithms. Image and Vision Computing, 16:295-306, 1998.
13. D. R., N.M., and R. D. A range/domain approximation error based approach for fractal image compression. IEEE Transaction on Image Processing, 15:1-9, January 2006.
14. C. W.-S., Y. P. C., H. J., and D. D.-Q. Kernel machinebased one-parameter regularized fisher discriminant method for face recognition. IEEE Transactions on Systems, Man and Cybernetics - Part B: Cybernetics, 35:659-669, August 2005.