Face recognition using HOG-EBGM

Pattern Recognition Letters

Volumn 29, Issue 10, 2008, Pages 1537-1543

  Albiol, Alberto ^a   Monzo, David ^a   Martin, Antoine ^a   Sastre, Jorge ^a   Albiol, Antonio ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

EBGM; Face recognition; HOG; Local image descriptors; SIFT

Indexed keywords

DATABASE SYSTEMS; GRAPH THEORY; IMAGE ANALYSIS; LIGHTING;

HOG DESCRIPTORS; LOCAL IMAGE DESCRIPTORS;

FACE RECOGNITION;

EID: 44449103231     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.03.017     Document Type: Article

References (19)

1. Bay, H., Tuytelaars, T., Gool, L.V., 2006. SURF: Speeded up robust features. In: Proc. 9th European Conf. on Computer Vision, Graz, Austria.
2. Belhumeur, P., Hespanh, J., Kriegman, D., Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. In: Proc. 4th European Conf. on Computer Vision, Cambridge, UK, 1996, pp. 45-58.
3. Bicego, M., Lagorio, A., Grosso, E., Tistarelli, M., 2006. On the use of SIFT features for face authentication, in: Proc. Internat. Conf. on Computer Vision and Pattern Recognition Workshop, New York.
4. Bolme, D., 2003. Elastic bunch graph matching, Ph.D. thesis. Colorado State University, Fort Collins, Colorado.
5. Bolme, D.S., Beveridge, J.R., Teixeira, M., Draper, B., 2003. The CSU face identification evaluation system: Its purpose, features, and structure. In: Proc. Internat. Conf. on Computer Vision Systems, Graz, Austria, pp. 304-313.
6. Cotes T., Edwards G.J., and Taylor C.J. Active appareance models. IEEE Trans. Pattern Anal. Machine Intell. 23 6 (2001) 681-685
7. Dalal, N., Triggs, B., 2005. Histograms of oriented gradients for human detection. In: Proc. 9th European Conf. on Computer Vision, San Diego, CA.
8. del Solar J.R., and Navarrete P. Eigenspace-based face recognition: A comparative study of different approaches. IEEE Trans. Systems Man Cybernet. 35 3 (2005) 315-325
9. Lowe D. Distinctive image features from scale-invariant keypoints. Internat. J. Comput. Vision 60 2 (2004) 91-110
10. Mikolajczyk K., and Schmid C. A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Machine Intell. 27 10 (2005) 1615-1630
11. Moghaddam, B., Nastar, C., Pentland, A., 1996. A bayesian similarity measure for direct image matching. In: Proc. Internat. Conf. on Pattern Recognition, Vol. 2, Vienna, Austria, pp. 350-358.
12. Peer, P., 1999. CVL Face database, University of Ljubjana. .
13. Phillips J.P., Moon H., Rizv S., and Rauss P.J. The FERET evaluation methodology for face-recognition algorithms. IEEE Trans. Pattern Anal. Machine Intell. 22 10 (2000) 1090-1104
14. Shin H., Kim S.D., and Choi H.C. Generalized elastic graph matching for face recognition. Pattern Recognition Lett. 28 9 (2007) 1077-1082
15. Turk M., and Pentland A. Eigenfaces for recognition. J. Cognitive Neurosci. 3 1 (1991) 71-86
16. Viola, P., Jones, M., 2001. Rapid object detection using a boosted cascade of simple features. In: Proc. Internat. Conf. on Computer Vision and Pattern Recognition, Hawaii.
17. Wiskott, L., Fellous, J.M., Kruger, N., Malsburg, C., 1996. Face recognition by elastic bunch graph matching, Tech. Rep., Ruhr-Universitat Bochum.
18. Yale database, 1997. .
19. Zhao W., Chellappa R., Rosenfeld A., and Phillips P. Face recognition: A literature survey. ACM Comput. Surv. 35 4 (2003) 399-458