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Article
Publication date: 14 July 2020

Siti Zulaikha Binti Zulkifli, KyoungOk Kim and Masayuki Takatera

This study aimed to clarify the criteria for subjective evaluation of the similarities and differences between virtual and actual pants and propose a quantitative evaluation…

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Abstract

Purpose

This study aimed to clarify the criteria for subjective evaluation of the similarities and differences between virtual and actual pants and propose a quantitative evaluation method for those similarities and differences based on geometric features related to the evaluation.

Design/methodology/approach

Using patterns, we made five pairs of actual pants for a dummy in five fabrics. We simulated virtual pants with a 3-D simulator. Sensory evaluation was conducted with images of the virtual and actual pants: 20 participants compared the images based on a questionnaire. For the structure of evaluation, the authors undertook analysis of variance and principal component analysis. The actual and virtual pants were geometrically compared using the 3-D scanned data. To investigate the relationship between quantitative and sensory evaluation, the authors calculated the correlation coefficients.

Findings

The authors found that subjects perceived the differences between actual and simulated pants. When comparing the virtual and actual pants, the criteria for the differences were the silhouette from the front view, hem width, waist and wrinkles. Using differences in the hem width, it would be possible to evaluate the differences between actual and simulated pants. Roughness and smoothness of the silhouette also affected evaluation.

Originality/value

The authors clarified the evaluation criteria for the similarities and differences between virtual and actual pants. The authors proposed a quantitative evaluation method for the similarities and differences between virtual and actual garment based on our criteria. This study will be of benefit to 3-D simulator users and developers.

Details

International Journal of Clothing Science and Technology, vol. 33 no. 2
Type: Research Article
ISSN: 0955-6222

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