Using a multi-instance enrollment representation to improve 3D face recognition

IEEE Conference on Biometrics: Theory, Applications and Systems, BTAS'07

Volumn , Issue , 2007, Pages

  Faltemier, Timothy C ^a   Bowyer, Kevin W ^a   Flynn, Patrick J ^a  

^a University of Notre Dame   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMETRICS; EXPERIMENTS; IMAGE ENHANCEMENT; RESEARCH; THREE DIMENSIONAL;

3 D FACE RECOGNITION; 3D FACES; FACE IMAGES; INTERNATIONAL CONFERENCES; RESEARCH COMMUNITIES;

FACE RECOGNITION;

EID: 48649084268     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BTAS.2007.4401928     Document Type: Conference Paper

References (24)

1. T. Maurer, D. Guigonis, I. Maslov, B. Pesenti, A. Tsaregorodtsev, D. West, and G. Medioni. Performance of Geometrix ActiveID 3D Face Recognition Engine on the FRGC Data. Face Recognition Grand Challenge Workshop, pages III: 154-154, 2005.
2. P. Besl and N. McKay. A method for registration of 3-D shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 14:239-256, 1992.
3. Xiaoguang Lu, Anil K. Jain, and Dirk Colbry. Matching 2.5D Face scans to 3D Models. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(1):31-43, 2006.
4. K. Chang, K. W. Bowyer, and P. Flynn. Multiple nose region matching for 3D face recognition under varying facial expression. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1-6, 2006.
5. T. Faltemier, K. Bowyer, and P. Flynn. 3D face recognition with region committee voting. Proc. the Third International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), pages 318-325, 2006.
6. X. Chen, T. Faltemier, P. Flynn, and K. Bowyer. Human face modeling and recognition through multi-view high resolution stereopsis. Proc. IEEE Workshop on Biometrics (affiliated with CVPR2006), pages 17-22, 2006.
7. A. S. Mian, M. Bennamoun, and R. Owens. An efficient multimodal 2D-3D hybrid approach to automatic face recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 1584-1601, 2007.
8. K. Chang, K. Bowyer, and P. Flynn. An evaluation of multi-modal 2D+3D face biometrics. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27:619-624, 2005.
9. P. J. Phillips, Patrick J. Flynn, Todd Scruggs, Kevin W. Bowyer, Jin Chang, Kevin Hoffman, Joe Marques, Jaesik Min, and William Worek. Overview of the face recognition grand challenge. IEEE Conf on Computer Vision and Pattern Recognition, pages 947-954, 2005.
10. P. J. Phillips, Patrick J. Flynn, Todd Scruggs, Kevin W. Bowyer, and William Worek. Preliminary face recognition grand challenge results. Proc. 7-th IEEE International Conference on Automatic Face and Gesture Recognition, pages 15-24, 2006.
11. James L. Wayman. A path forward for multi-biometrics. Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, pages 1069-1072, 2006.
12. A. Martinez. Recognizing imprecisely localized, partially occluded, and expression variant faces from a single sample perl class. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24:748-763, 2002.
13. B. Heisele and T. Koshizen. Components for face recognition. Proc. IEEE International Conference on Face and Gesture Recognition, pages 153-158, 2004.
14. ND-2006 Face Data Set. http://www.nd.edu/cvrl/. 2007.
15. W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld. Face recognition: A literature survey. ACM Comput. Surv., 35(4):399-458, 2003.
16. K. Bowyer, K. Chang, and P. Flynn. A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition. Computer Vision and Image Understanding, 101(1):1-15, 2006.
17. C. Hesher, A. Srivastava, and G. Erlebacher. A novel technique for face recognition using range images. Seventh Intl Symposium on Signal Processing and Its Applications, 2:201-204, 2003.
18. Y. Yacoob and L. Davis. Smiling faces are better for face recognition. Proc. International Conference on Automatic Face and Gesture Recognition, pages 59-64, 2002.
19. Konica-Minolta USA. Minolta Vivid 910 non-contact 3D laser scanner. http://www.minoltausa.com/vivid/. accessed 2004.
20. A. Jain, X. Lu, and D. Colbry. Three-dimensional model based face recognition. Proc. 17th International Conference on Pattern Recognition, I:362-366, 2004.
21. P. Yan and K.W. Bowyer. Empirical evaluation of advanced ear biometrics. Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshop, pages 41-48, 2005.
22. W. Yambor, B. Draper, and R. Beveridge. Analyzing pca-based face recognition algorithms: Eigenvector selection and distance measures. Empirical Evaluation Methods in Computer Vision, pages 1-14, 2002.
23. J. Devore and R. Peck. Statistics: The Exploration and Analysis of Data, Third Edition. Brooks Cole, 1997.
24. X. Lu and A. Jain. Deformation modeling for robust 3D face matching. Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR2006), pages 1377-1383, 2006.