Abstract
This study proposes a simple drape measurement method for the 3D virtualization of garments. The proposed method uses angles or disks of different diameters to evaluate the drape properties easily. We divided 710 fabrics into ten groups based on the drape coefficient, of which 49.6% had drape coefficients of 30 or less. The drape properties were measured to classify the groups into smaller clusters using the angle formed when the center of the fabric was fixed. Accordingly, three clusters were formed for 60° and 100° angles. A method was devised using ten disks of different diameters to classify the remaining two clusters, except the cluster containing only the D10 group (D1-D5 and D5-D9). Three criteria-grade match, a sum of deviation, and standardization of deviation-were used for the classifications. The discriminative ability between groups was high for D1-D5 with disks with 24.0 and 25.5 cm diameters. Furthermore, a disk with a diameter of 16.5 cm was effective for D5-D9. The three-dimensional drape shapes were unique for the ten groups, which can be utilized as fundamental data for 3D virtualization.
Original language | English |
---|---|
Pages (from-to) | 881-891 |
Number of pages | 11 |
Journal | Journal of the Korean Society of Clothing and Textiles |
Volume | 45 |
Issue number | 5 |
DOIs | |
State | Published - Oct 2021 |
Bibliographical note
Publisher Copyright:© 2021. All Rights Reserved.
Keywords
- 3D scanning
- 3D virtualization
- Angle measurement
- Disk size
- Drape coefficient