Predicting Garment Drape with a Fuzzy-Neural Network-Reference-Cited by-同舟云学术

Predicting Garment Drape with a Fuzzy-Neural Network

Published:2001-07 Issue:7 Volume:71 Page:605-608
ISSN:0040-5175
Container-title:Textile Research Journal
language:en
Short-container-title:Textile Research Journal

Author:

Fan J.¹,Newton E.¹,Au R.¹,Chan S. C. F.²

Affiliation:

1. Institute of Textiles and Clothing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

2. Department of Computing, Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong

Abstract

This paper proposes to use a fuzzy-neural network system to predict and display the drape image of garments made of different fabrics and styles. The new approach is used to develop a prototype drape prediction system to predict the drape of a lady's dress style made from different fabrics. The advantages and disadvantages of the new approach, compared with conventional ones, are discussed.

Publisher

SAGE Publications

Subject

Polymers and Plastics,Chemical Engineering (miscellaneous)

Link

http://journals.sagepub.com/doi/pdf/10.1177/004051750107100706

Reference8 articles.

1. A global human walking model with real-time kinematic personification

2. A Particle-Based Model for Simulating the Draping Behavior of Woven Cloth

3. Towards the virtual garment: three‐dimensional computer environments for garment design

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