A method of gender classification by integrating facial, hairstyle, and clothing images

Kazuya Ueki; Hiromitsu Komatsu; Satoshi Imaizumi; Kenichi Kaneko; Satoshi Imaizumi; Nobuhiro Sekine; Jiro Katto; Tetsunori Kobayashi

doi:10.1109/ICPR.2004.1333798

A method of gender classification by integrating facial, hairstyle, and clothing images

Kazuya Ueki^*, Hiromitsu Komatsu, Satoshi Imaizumi, Kenichi Kaneko, Satoshi Imaizumi, Nobuhiro Sekine, Jiro Katto, Tetsunori Kobayashi

^*Corresponding author for this work

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

25 Citations (Scopus)

Abstract

This paper presents a method of gender classification by integrating facial, hairstyle, and clothing images. Initially, input images are separated into facial, hairstyle and clothing regions, and independently learned PCAs and GMMs based on thousands of sample images are applied to each region. The classification results are then integrated into a single score using some known priors based on the Bayes rule. Experimental results showed that our integration strategy significantly reduced error rate in gender classification compared with the conventional facial only approach.

Original language	English
Title of host publication	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Editors	J. Kittler, M. Petrou, M. Nixon
Pages	446-449
Number of pages	4
DOIs	https://doi.org/10.1109/ICPR.2004.1333798
Publication status	Published - 2004 Dec 20
Event	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, United Kingdom Duration: 2004 Aug 23 → 2004 Aug 26

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	4
ISSN (Print)	1051-4651

Conference

Conference	Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Country/Territory	United Kingdom
City	Cambridge
Period	04/8/23 → 04/8/26

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICPR.2004.1333798

Cite this

Ueki, K., Komatsu, H., Imaizumi, S., Kaneko, K., Imaizumi, S., Sekine, N., Katto, J., & Kobayashi, T. (2004). A method of gender classification by integrating facial, hairstyle, and clothing images. In J. Kittler, M. Petrou, & M. Nixon (Eds.), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 (pp. 446-449). (Proceedings - International Conference on Pattern Recognition; Vol. 4). https://doi.org/10.1109/ICPR.2004.1333798

A method of gender classification by integrating facial, hairstyle, and clothing images. / Ueki, Kazuya; Komatsu, Hiromitsu; Imaizumi, Satoshi et al.
Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. ed. / J. Kittler; M. Petrou; M. Nixon. 2004. p. 446-449 (Proceedings - International Conference on Pattern Recognition; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ueki, K, Komatsu, H, Imaizumi, S, Kaneko, K, Imaizumi, S, Sekine, N, Katto, J & Kobayashi, T 2004, A method of gender classification by integrating facial, hairstyle, and clothing images. in J Kittler, M Petrou & M Nixon (eds), Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Proceedings - International Conference on Pattern Recognition, vol. 4, pp. 446-449, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, Cambridge, United Kingdom, 04/8/23. https://doi.org/10.1109/ICPR.2004.1333798

Ueki K, Komatsu H, Imaizumi S, Kaneko K, Imaizumi S, Sekine N et al. A method of gender classification by integrating facial, hairstyle, and clothing images. In Kittler J, Petrou M, Nixon M, editors, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. 2004. p. 446-449. (Proceedings - International Conference on Pattern Recognition). doi: 10.1109/ICPR.2004.1333798

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abstract = "This paper presents a method of gender classification by integrating facial, hairstyle, and clothing images. Initially, input images are separated into facial, hairstyle and clothing regions, and independently learned PCAs and GMMs based on thousands of sample images are applied to each region. The classification results are then integrated into a single score using some known priors based on the Bayes rule. Experimental results showed that our integration strategy significantly reduced error rate in gender classification compared with the conventional facial only approach.",

author = "Kazuya Ueki and Hiromitsu Komatsu and Satoshi Imaizumi and Kenichi Kaneko and Satoshi Imaizumi and Nobuhiro Sekine and Jiro Katto and Tetsunori Kobayashi",

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AB - This paper presents a method of gender classification by integrating facial, hairstyle, and clothing images. Initially, input images are separated into facial, hairstyle and clothing regions, and independently learned PCAs and GMMs based on thousands of sample images are applied to each region. The classification results are then integrated into a single score using some known priors based on the Bayes rule. Experimental results showed that our integration strategy significantly reduced error rate in gender classification compared with the conventional facial only approach.

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A method of gender classification by integrating facial, hairstyle, and clothing images

Abstract

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