Interactive sketch design recognition system using evolutionary techniques

Pik Yin Mok, X. X. Wang, J. T. Fan, Y. L. Kwok, John Haozhong Xin

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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.
Original languageEnglish
Title of host publicationICINCO 2011 - Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics
Pages67-72
Number of pages6
Volume1
Publication statusPublished - 14 Sep 2011
Event8th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2011 - Noordwijkerhout, Netherlands
Duration: 28 Jul 201131 Jul 2011

Conference

Conference8th International Conference on Informatics in Control, Automation and Robotics, ICINCO 2011
Country/TerritoryNetherlands
CityNoordwijkerhout
Period28/07/1131/07/11

Keywords

  • Interactive genetic algorithms
  • Sketch design recognition

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering

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