A method for garment pattern generation by flattening 3D body scan data

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Abstract

The purposes of this study are to manufacture a flat pattern according to silhouettes through the Surface Flattening process of a triangle by the grid method, and to verify the result to present the method for manufacturing patterns according to designs. Based on the data measured by Size Korea, this study modeled a representative figure ranging from 18 year-old to 24 year-old female, modified the modeled body shapes to a semi-fit silhouette and loose-fit silhouette and did the surface flattening development. We manufactured patterns according to silhouettes and analyzed the area differences between 3D-piece and flat patterns and the deviation between a muslin scan data manufactured by a flat pattern and modeled data. The result of the surface flattening development by the method can be utilized for manufacturing garment patterns by converting a 3D scan data into 2D pattern and proved to be excellent at piece re-creating because the result did not show a big difference from a modeled silhouette. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Choi, Y. L., Nam, Y., Choi, K. M., & Cui, M. H. (2007). A method for garment pattern generation by flattening 3D body scan data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4561 LNCS, pp. 803–812). Springer Verlag. https://doi.org/10.1007/978-3-540-73321-8_91

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