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Authors: Carlos Serra-Toro ; V. Javer Traver ; Raúl Montoliu and José M. Sotoca

Affiliation: Universitat Jaume I, Spain

ISBN: 978-989-8425-47-8

Keyword(s): Gender recognition, Soft biometrics, Machine learning.

Abstract: In this paper we present an study on the importance of the grid configuration in gender recognition from whole body static images. By using a simple classifier (AdaBoost) and the well-known Histogram of Oriented Gradients features we test several grid configurations. Compared with previous approaches, which use more complicated classifiers or feature extractors, our approach outperforms them in the case of the frontal view recognition and almost equals them in the case of the mixed view (i.e. frontal and back views combined without distinction).

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Paper citation in several formats:
Serra-Toro, C.; Javer Traver, V.; Montoliu, R. and M. Sotoca, J. (2011). ON THE IMPORTANCE OF THE GRID SIZE FOR GENDER RECOGNITION USING FULL BODY STATIC IMAGES.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 334-339. DOI: 10.5220/0003323803340339

@conference{visapp11,
author={Carlos Serra{-}Toro. and V. Javer Traver. and Raúl Montoliu. and José M. Sotoca.},
title={ON THE IMPORTANCE OF THE GRID SIZE FOR GENDER RECOGNITION USING FULL BODY STATIC IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={334-339},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003323803340339},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - ON THE IMPORTANCE OF THE GRID SIZE FOR GENDER RECOGNITION USING FULL BODY STATIC IMAGES
SN - 978-989-8425-47-8
AU - Serra-Toro, C.
AU - Javer Traver, V.
AU - Montoliu, R.
AU - M. Sotoca, J.
PY - 2011
SP - 334
EP - 339
DO - 10.5220/0003323803340339

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