Two faces are better than one: Face recognition in group photographs

2011 International Joint Conference on Biometrics, IJCB 2011

Volumn , Issue , 2011, Pages

  Manyam, Ohil K ^a   Kumar, Neeraj ^b   Belhumeur, Peter ^b   Kriegman, David ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Columbia University ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERA MOTIONS; DATA SETS; FACE IMAGES; FACE RECOGNITION SYSTEMS; FACE REGIONS; INDEPENDENCE ASSUMPTION; JOINT DECISION MAKING; MULTIPLE PEOPLE; NATURALLY OCCURRING; RECOGNITION PERFORMANCE; RELATIVE COLOR; SINGLE CAMERAS; STATISTICAL INDEPENDENCE;

BIOMETRICS; CAMERAS; DECISION MAKING; FEATURE EXTRACTION; PHOTOGRAPHY;

FACE RECOGNITION;

EID: 84856103319     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCB.2011.6117516     Document Type: Conference Paper

References (15)

1. P. Belhumeur, J. Hespanha, and D. Kriegman. Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection. IEEE Trans. on Pattern Analysis and Machine Intelligence, 19:711-720, 1997. (Pubitemid 127762263)
2. D. Cox and N. Pinto. Beyond simple features: A large-scale feature search approach to unconstrained face recognition. In IEEE Intl. Conf on Automatic Face Gesture Recognition and Workshops, pages 8-15, 2011.
3. M. Everingham, J. Sivic, and A. Zisserman. "Hello! My name is . . . Buffy"-automatic naming of characters in TV video. In British Machine Vision Conference, 2006.
4. R. Gross, I. Matthews, J. Cohn, T. Kanade, and S. Baker. Multi-pie. In IEEE Intl. Conf on Automatic Face Gesture Recognition, pages 1-8, 2008.
5. G. Huang, M. Ramesh, T. Berg, and E. Learned-Miller. Labeled Faces in the Wild: A database for studying face recognition in unconstrained environments. Technical Report 07-49, University of Massachusetts, Amherst, October 2007.
6. N. Kumar, A. Berg, P. Belhumeur, and S. Nayar. Attribute and simile classifiers for face verification. In Proc. IEEE Intl. Conf. on Computer Vision, pages 365-372, 2009.
7. N. Kumar, A. Berg, P. N. Belhumeur, and S. Nayar. Describable visual attributes for face verification and image search. IEEE Trans. on Pattern Analysis and Machine Intelligence, 99(PrePrints),2011.
8. D. Lin, A. Kapoor, G. Hua, and S. Baker. Joint people, event, and location recognition in personal photo collections using cross-domain context. In Proc. European Conf on Computer Vision, pages 243-256, 2010.
9. D. Lowe. Distinctive image features from scale-invariant keypoints. Intl. lournal oj Computer Vision, 2003.
10. H. Y. Nguyen and L. Bai. Cosine similarity metric learning for face verification. In ACCV (2), pages 709-720, 2010.
11. T. Sim, S. Baker, and M. Bsat. The CMU pose, illumination, and expression (PIE) database. In IEEE Conf on Automatic Face and Gesture Recognition, pages 46-51, 2002.
12. X. Zhang and Y. Gao. Face recognition across pose: A review. Pattern Recognition, 42(11):2876-2896, 2009.
13. M. Zhao and S. Liu. Automatic person annotation of family photo album. In Proc. Intl. Conf on Image and Video Retrieval, pages 163-172, 2006. (Pubitemid 44153556)
14. W. Zhao, R. Chellappa, P. Phillips, and A. Rosenfeld. Face recognition: A literature survey. ACM Computing Surveys, 35:399-458,2003.
15. X. Zou, J. Kittler, and K. Messer. Illumination invariant face recognition: A survey. In Proc. IEEE Conf on Biometrics: Theory, Applications, and Systems, pages 1-8,2007.