A hybrid approach to gender classification from face images

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Xu, Ziyi ^a   Lu, Li ^a   Shi, Pengfei ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE APPEARANCE MODELS; ADABOOST ALGORITHM; APRIORI KNOWLEDGE; CLASSIFICATION PERFORMANCE; CODING METHODS; FACE IMAGES; GENDER CLASSIFICATION; GEOMETRY FEATURES; HAAR WAVELETS; HYBRID APPROACH; POSE VARIATION;

ADAPTIVE BOOSTING; COMPUTATIONAL GEOMETRY; COMPUTER VISION; FACE RECOGNITION;

FEATURE EXTRACTION;

EID: 77957968401     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. A. Golomb, D. T. Lawrence, and T. j. Sejnowski. "SEXNET: A neural network identifies sex from human faces", Neural Information Processing Systems, 1991, pp: 572-577.
2. G. w. Cottrell and J. Metcalfe. EMPATH: "Face, emotion, and gender recognition using holons". Neural Information Processing Systems, 1991, pp: 564-571.
3. Costen, N., Brown, M., Akamatsu, S., "Sparse models for gender classification". Proc. Internat. Conf. on Automatic Face and Gesture Recognition (FGR'04), 2004, pp: 201- 206..
4. Shakhnarovich, G., Viola, P.A., Moghaddam, B., "A unified learning framework for real time face detection and classification", Proc. Internat. Conf. on Automatic Face and Gesture Recognition (FGR'02). IEEE, 2002, pp: 14-21.
5. B. Wu, H. Ai, C. Huang, "Real Time Gender Classification", Multi-spectral Image Processing and Pattern Recognition, 2003.
6. Givens G, Beveridge J R, Draper B A, et al. "How features of the human face affect recognition: a statistical comparison of three face recognition algorithms", IEEE computer society conference on computer vision and pattern recognition, 2004, 2 pp: 381-388.
7. Freund Y., Schapire R. E., "A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting", Journal of Computer and System Sciences, 1997, 55(1) pp: 119-139.
8. Viola P., Jones M. J. "Robust Real-Time Face Detection", International Journal of Computer Vision, 2004, 57(2) pp: 137-154.
9. Viola P., Jones M. J., "Rapid Object Detection using a Boosted Cascade of Simple Features", Computer Vision and Pattern Recognition, 2001, Volume 1, pp: 8-14.
10. R. Lienhart, A. Kuranov, V. Pisarevsky, "Empirical Analysis of Detection Cascades of Boosted Classifiers for Rapid Object Detection", MRL(Microprocessor Research Lab, Intel Labs) Technical Report, 2002.
11. R. Brunelli and T. Poggio. "Hyperbf networks for gender classification", DARPA Image Understanding Workshop, 1992, pp: 311-314.
12. Ashok Samal *, Vanitha Subramani, David Marx, "Analysis of sexual dimorphism in human face", J. Vis. Commun. Image R. 18, 2007, pp: 453-463.
13. Snelick R, Uludag U, Mink A, et al. "Large scale evaluation of multimodal biometric authentication using state-of the-art systems", IEEE Transactions on Pattern Analysis and Machine intelligence2005, pp: 450-455.
14. Phillips, P.J., H. Wechsler, J. Huang, and P. Rauss, "The FERET database and evaluation procedure for face recognition algorithm", Image and Vision Computing, 1998, vol. 16, no. 5, pp. 295-306.
15. Martiniz, A.M. and R. Benavente, "The AR face database", Technical Report: 24, CVC., June, 1998.