Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19457
Title: Interactive sketch design recognition system using evolutionary techniques
Authors: Mok, PY 
Wang, XX
Fan, JT
Kwok, YL
Xin, JH 
Keywords: Interactive genetic algorithms
Sketch design recognition
Issue Date: 2011
Source: ICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, 2011, v. 1, p. 67-72 How to cite?
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.
Description: 8th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2011, Noordwijkerhout, 28-31 July 2011
URI: http://hdl.handle.net/10397/19457
ISBN: 9789898425744
Appears in Collections:Conference Paper

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