Name
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1108/RJTA-18-01-2014-B011 | ICINCO (1) |
Keywords | Field | DocType |
Sketch design recognition, Interactive genetic algorithms | Recognition system,Sketch-based modeling,Computer science,Clothing,Sketch recognition,Artificial intelligence,Machine learning,Genetic algorithm,Fashion design,Sketch | Conference |
Volume | Issue | Citations |
18 | 1 | 0 |
PageRank | References | Authors |
0.34 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| P. Y. Mok | 1 | 154 | 13.38 |
| X. X. Wang | 2 | 0 | 0.34 |
| J. T. Fan | 3 | 80 | 5.12 |
| Y. L. Kwok | 4 | 45 | 3.15 |
| John H. Xin | 5 | 67 | 6.57 |