Authors:
P. Y. Mok
;
X. X. Wang
;
J. T. Fan
;
Y. L. Kwok
and
John H. Xin
Affiliation:
The Hong Kong Polytechnic University, Hong Kong
Keyword(s):
Sketch design recognition, Interactive genetic algorithms.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Computer-Based Manufacturing Technologies
;
Evolutionary Computing
;
Genetic Algorithms
;
Industrial Engineering
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Intelligent Design and Manufacturing
;
Soft Computing
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.