Subspace-based age-group classification using facial images under various lighting conditions

FGR 2006: Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition

Volumn 2006, Issue , 2006, Pages 43-48

  Ueki, Kazuya ^a,b   Hayashida, Teruhide ^a   Kobayashi, Tetsunori ^a  

^a WASEDA UNIVERSITY   (Japan)

^b NEC CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL METHODS; IMAGE ANALYSIS; INFORMATION ANALYSIS; LIGHTING; PRINCIPAL COMPONENT ANALYSIS;

AGE GROUP CLASSIFICATION; CLASSIFICATION ACCURACY; FACE SUBSPACE; FACIAL IMAGES;

FACE RECOGNITION;

EID: 33750797982     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FGR.2006.102     Document Type: Conference Paper

References (16)

1. G. W. Cottrell and J. Metcalfe, "EMPATH: Face, emotion, and gender recognition using holons," Advances in Neural Information Processing Systems, vol.3, pp.564-571, 1991.
2. B. A. Golomb, D. T. Lawrence, and T. J. Sejnowski, "SEXNET: A neural network identifies sex from human faces," Advances in Neural Information Processing Systems, vol.3, pp.572-577, 1991.
3. R. Brunelli and T. Poggio, "HyberBF networks for gender classification," Proc. Image Understanding Workshop, pp.311-314, 1992.
4. S. Yen, P. Sajda and L. Finkel, "Comparison of gender recognition by PDP and radial basis function networks," The Neurobiology of Computation, pp.433-438, 1994.
5. H. Abdi, D. Valentin, B. Edelman, and A. J. O'Toole, "More about the difference between men and women: evidence from linear neural networks and the principal-component approach," Perception, vol.24, pp.539-562, 1995.
6. S. Tamura, H. Kawai, and H. Mitsumpto, "Male/female identification from 8 × 6 very low resolution face images by neural network," Pattern Recognition, vol.29, no.2, pp.331-335, 1996.
7. D. L. Swets and J. Weng, "Using discriminant eigenfeatures for image retrieval," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.18, no.8, pp.831-836, 1996.
8. P. N. Belhumeur, J. P. Hespanha, D. J. Kriegman, "Eigenfaces vs. Fisherfaces: recognition using class specific linear projection," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.19, no.7, pp.711-720, 1997
9. J. Fellous, "Gender discrimination and prediction on the basis of facial metric information," Vision Research, vol.37, no.14, pp.1961-1973, 1997.
10. S. Gutta, H. Wechsler, and P. J. Phillips, "Gender and ethnic classification of face images," Proc. of IEEE Intl. Conf. on Automatic Face and Gesture Recognition, pp.194-199, 1998.
11. Y. H. Kwon and N. V. Lobo, "Age classification from facial images," Computer Vision and Image Understanding, vol.74, no.1 pp.1-21, 1999.
12. L. Chen, H. Liao, M. Ko, J. Lin and G. Yu, "A new LDA-based face recognition system which can solve the small sample size problem," Pattern Recognition, vol.33, pp.1713-1726, 2000.
13. H. Yu and J. Yang, "A direct LDA algorithm for high-dimensional data - with application to face recognition," Pattern Recognition, vol.34, pp.2067-2070, 2001.
14. W. B. Horng, C. P. Lee and C. W. Chen, "Classification of age groups based on facial features," Tamkang Journal of Science and Engineering, vol.4, no.3, pp.183-191, 2001.
15. B. Moghaddam and M.-H. Yang, "Learning gender with Support Faces," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.24, no.5, pp.707-711, 2002.
16. J. Yang, D. Zhang, A. F. Frangi, J. Y. Yang, "Two-Dimensional PCA: a new approach to appearance-based face representation and recognition", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.26, no.1, pp.131-137, 2004.