Feature curve-net-based three-dimensional garment customizationTextile Research Journal


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Textile Research Journal http://trj.sagepub.com/content/83/5/519

The online version of this article can be found at:

DOI: 10.1177/0040517512450758 2013 83: 519 originally published online 27 November 2012Textile Research Journal

Jituo Li, Guodong Lu, Zheng Liu, Jiongzhou Liu and Xiaoyan Wang

Feature curve-net-based three-dimensional garment customization

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What is This? - Nov 27, 2012OnlineFirst Version of Record - Feb 22, 2013Version of Record >> at UNIV FED DO RIO GRANDE DO NOR on April 23, 2014trj.sagepub.comDownloaded from

Original article

Feature curve-net-based three-dimensional garment customization

Jituo Li1, Guodong Lu1, Zheng Liu1, Jiongzhou Liu1 and

Xiaoyan Wang2


Garment customization means that clients can provide their individual information for creating garments that fit them well. It has become a trend in garment industry. Three-dimensional (3D) methods have been emerging and have proved to be intuitive and effective ways for garment customization. In this paper, we propose a novel 3D garment customization approach based on a feature curve-net. A feature curve-net is weaved by feature curves that are initially extracted from 3D human models and then fitted onto 3D garment models. Three-dimensional garment models are locally parameterized on the feature curve-nets by applying bicubic Coons surface technology. Feature curve-nets created from different human models have the same topology connectivity. Thus, garment models on a reference human model can be transferred onto a target human model by reconstructing the garment models from the feature curve-net on the target human model. The shapes of the customized garment models can be further conveniently altered by interactively editing the feature curve-net. Our method supports both the 3D garment resizing and 3D garment editing, while most existing 3D garment customization methods can only support 3D garment resizing. Our method is flexible and can be useful in garment customization.

Keywords three-dimensional garment customization, feature curve-net, bicubic Coons surface, local parameterization

Off-the-shelf garments are mostly designed based on standardized human models, which are based on average population sizes. However, people have a much larger variety of shapes and sizes than the standardized ones. Almost everyone has met such a problem that, when she/he enters a big shopping mall, she/he cannot find a garment fitting her/him well. Customers are willing to pay a premium price for products that fit them better1 and they desire to have more control over the fit and design of the garments. Garment customization provides a way to satisfy such customers’ desires.

Garment customization aims at using the same production resources to design and produce a variety of similar garments, while satisfying individual demands, at a cost near that of mass production. This is customer rather than production oriented and has been seen as a trend in the garment industry. It was pointed out that there are three varieties in the garment customization, namely personalization, fit and design,2 among which ‘‘fit’’ is considered the most critical issue.3 ‘‘Fit’’ means that the customers can provide their individual dimensional information for creating garments that fit them well. Our work in this paper also concentrates on garment fit.

A garment is assembled from several two-dimensional (2D) patterns. Therefore, it is straightforward to customize a garment by grading its 2D patterns.

Such a strategy has be adopted in a number of software packages.4–7 Two-dimensional patterns are graded by 1Institute of Engineering and Computer Graphics, Zhejiang University,

China 2Zhejiang University of Technology, China

Corresponding author:

Jituo Li, Zhejiang University, Room 416, No. 1 Teaching Building, No. 38,

Zheda Road, Hangzhou 310027, China.

Email: jituo_li@zju.edu.cn

Textile Research Journal 83(5) 519–531 ! The Author(s) 2013

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DOI: 10.1177/0040517512450758 trj.sagepub.com at UNIV FED DO RIO GRANDE DO NOR on April 23, 2014trj.sagepub.comDownloaded from using empirical 2D grading rules,8 which involves fuzzy and uncertain factors that cannot be straightforwardly transferred to a computational procedure.9 Before getting a fitted garment, it usually requires an experienced pattern maker to interactively alter the patterns several times, which is tedious and time consuming.

Since the ultimate goal of pattern grading is to design well-fitted individualized garments, we believe that three-dimensional (3D) customization is the most intuitive and rational approach for this goal. Very recently, a number of works have been carried out from this viewpoint .10–14 In Wang et al.,10 for each point on a garment model, its distances and orientations relative to a set of vicinal triangles on the human model are recorded. Thus, the garment model could be updated accordingly when the shape of the human model changes. Later, the authors used radial basis functions to set up the mapping between the vicinal spaces of two humans;11 then, garments on one human model could be transferred onto another with this space mapping. Very recently, the authors extended the method in Want et al.10 to preserve the user-defined features on the garment model.14 In Li and Lu,12 to customize garments on a reference human for a target human model, the authors tetrahedralized the dressed reference human model first. Then, the tetrahedral mesh was reshaped by fitting the reference human model onto the target human model, and the customized garment model was recovered from the deformed tetrahedral mesh.