Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24826
Title: Automatic block pattern generation from 3d unstructured point cloud
Authors: Huang, H
Mok, PY 
Kwok, YL
Au, JS 
Keywords: Block generation
Body segmentation
Clustering body surface
Issue Date: 2008
Publisher: Hong Kong Polytechnic Univ
Source: The 85th Textile Institute World Conference, Hong Kong, 18-21 Nov 2008 (CD) How to cite?
Abstract: Accurate and fit garment patterns are fundamentally important in garment manufacturing. Even though virtual body can now be obtained by 3D scanning, the problem of generating patterns from a 3D virtual body is still challenging because the mapping from 3D body to 2D patterns is constrained by complex garment style information and sewing definitions. This paper presents a new approach for generating 2D block patterns directly from scanned 3D unstructured points of human body. The new approach consists of a series of steps from body recognition, body modelling, to pattern fori-nation. In the paper, algorithms for body feature extraction and body modelling are first described, the relationship between human body, patterns and darts are then investigated, and pattern creation through automatic dart transformation are thus developed. The paper has demonstrated the proposed method can generate 2D block patterns from 3D unstructured point cloud.
Description: 86th Textile-Institute World Conference, Hong Kong, Peoples R China, 18-21 November 2008
URI: http://hdl.handle.net/10397/24826
Appears in Collections:Conference Paper

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