Interactive Sketch Design Recognition System Using Evolutionary Techniques

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

Research output: Journal article publicationJournal articleAcademic researchpeer-review

Abstract

In this study, a methodology integrating a sketch design recognition approach with an interactive genetic algorithm is proposed to help laypersons get clothes reflecting their preferences. 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 satisfactory clothes. Third, a database in constructed to record general elements of skirts. Moreover, an interactive genetic algorithm (IGA) is used to accelerate the sketch recognition process. The experimental results demonstrate that the proposed method can 'recognize' users' preferred styles efficiently. The subjective evaluation has shown that the system can help general consumers without any fashion design or sketch training to create their own designs.

Original languageEnglish
Pages (from-to)89-103
Number of pages15
JournalResearch Journal of Textile and Apparel
Volume18
Issue number1
DOIs
Publication statusPublished - 1 Feb 2014

Keywords

  • Mathematical Model
  • Self-Twist Spinning Process
  • Self-Twist Yarn

ASJC Scopus subject areas

  • Materials Science (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Business and International Management
  • Management of Technology and Innovation

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