INTERACTIVE SKETCH DESIGN RECOGNITION SYSTEM USING EVOLUTIONARY TECHNIQUES

P. Y. Mok, X. X. Wang, J. T. Fan, Y. L. Kwok, John H. Xin

Abstract

In this study, a methodology that hybridizes a sketch design recognition approach with an interactive genetic algorithm is proposed to help laypersons get clothes reflecting their preference. The sketch design recognition approach consists of a composite description model, a sketch recognition method and a database. First, a composite description model based on the knowledge of fashion design is developed to describe the characteristics of a skirt. Second, a sketch recognition method is used to help laypersons get satisfied clothes. Third, a database contains general elements about skirts. Moreover, an interactive genetic algorithm (IGA) is used to accelerate the sketch recognition process. The subjective experiments results demonstrate that the proposed method outperforms the existing fashion design systems.

References

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Paper Citation


in Harvard Style

Y. Mok P., X. Wang X., T. Fan J., L. Kwok Y. and H. Xin J. (2011). INTERACTIVE SKETCH DESIGN RECOGNITION SYSTEM USING EVOLUTIONARY TECHNIQUES . In Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8425-74-4, pages 67-72. DOI: 10.5220/0003452900670072


in Bibtex Style

@conference{icinco11,
author={P. Y. Mok and X. X. Wang and J. T. Fan and Y. L. Kwok and John H. Xin},
title={INTERACTIVE SKETCH DESIGN RECOGNITION SYSTEM USING EVOLUTIONARY TECHNIQUES},
booktitle={Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2011},
pages={67-72},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003452900670072},
isbn={978-989-8425-74-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - INTERACTIVE SKETCH DESIGN RECOGNITION SYSTEM USING EVOLUTIONARY TECHNIQUES
SN - 978-989-8425-74-4
AU - Y. Mok P.
AU - X. Wang X.
AU - T. Fan J.
AU - L. Kwok Y.
AU - H. Xin J.
PY - 2011
SP - 67
EP - 72
DO - 10.5220/0003452900670072