3D virtuelni sistem pristajanja ženske odeće

Maja Jankoska

doi:10.5937/tekstind2104072j

Abstract

Fit is one of the major concerns for the clothing industry, and pattern development process is significant during clothing manufacturing and the way clothing is constructed. Various pattern making methods have been introduced to the industry considering clothing fit satisfaction, but it is still impossible to provide the optimized clothing pattern for mass production. The aim of this paper is practical implications about 3D virtual fit simulation technology as a fit assessment tool in the fashion industry i.e. to predict the behavior of women's pants in relation to fitting and comfort in different poses of avatar. This was done by application CAD Clo 3D fashion design software.

Highlights

Garment CAD focused on 2D pattern drafting and modification
Findings of this study show that the current 3D virtual fit simulation technology is capable of converting 2D patterns into 3D forms on an avatar and making a close visualisation of the main shape
In the field of clothing and textiles, 3D simulation is considered to be of great potential for fit analysis, and a number of commercial clothing CAD systems have deployed 3D simulation modules

Summary

Introduction

Garment CAD focused on 2D pattern drafting and modification. The pattern-making techniques in 2D CAD systems mainly consist of two parts: (1) individual pattern generation based on parametric design; (2) individual pattern altering based on grading rules. As a potential technical solution, 3D virtual fit simulation technology has been introduced by the present apparel industry as a progressive means of rapid prototyping [2] This technology is capable of converting 2D patterns into a finished sewn garment and placing it on a virtual fit model which has the identical body shape and measurements of the target consumer group, based on designers’ input. This technology has the potential to assist both designers and manufacturers in evaluating fit and size issues quickly, using consistent virtual fit models [3]

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