Volume 4, Issue 2
3D Mesh Deformation Technology for Generation of Virtual Garments

Juanfen Jiang, Yueqi Zhong & Shanyuan Wang

Journal of Fiber Bioengineering & Informatics, 4 (2011), pp. 129-136.

Published online: 2011-04

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  • Abstract

In recent years, the area of sketch-based virtual garments generation has attracted more and more attention. In this paper, we propose a new method to develop 3D virtual garments by applying mesh deformation technology for the sketch-based approach. Compared to the traditional methods, the 3D garments, generated by our method, can be obtained easily and directly. The technology of mesh deformation in our paper involves two algorithms: Laplacian mesh editing/optimization, and mean-value geometry encoding/decoding. Given the modified positions for a set of anchor vertices, the mean-value encoding and decoding are used to transform the positions for the rest of the mesh vertices. Laplacian mesh editing and optimization are capable of improving the quality of the triangulation while preserving the shape properties of the original models. The resulting 3D garment validates the effectiveness of the proposed method.

  • Keywords

Virtual Garment Laplacian Smooth Mean-value Encoding and Decoding

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COPYRIGHT: © Global Science Press

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@Article{JFBI-4-129, author = {}, title = {3D Mesh Deformation Technology for Generation of Virtual Garments}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2011}, volume = {4}, number = {2}, pages = {129--136}, abstract = {In recent years, the area of sketch-based virtual garments generation has attracted more and more attention. In this paper, we propose a new method to develop 3D virtual garments by applying mesh deformation technology for the sketch-based approach. Compared to the traditional methods, the 3D garments, generated by our method, can be obtained easily and directly. The technology of mesh deformation in our paper involves two algorithms: Laplacian mesh editing/optimization, and mean-value geometry encoding/decoding. Given the modified positions for a set of anchor vertices, the mean-value encoding and decoding are used to transform the positions for the rest of the mesh vertices. Laplacian mesh editing and optimization are capable of improving the quality of the triangulation while preserving the shape properties of the original models. The resulting 3D garment validates the effectiveness of the proposed method.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbi06201103}, url = {http://global-sci.org/intro/article_detail/jfbi/4909.html} }
TY - JOUR T1 - 3D Mesh Deformation Technology for Generation of Virtual Garments JO - Journal of Fiber Bioengineering and Informatics VL - 2 SP - 129 EP - 136 PY - 2011 DA - 2011/04 SN - 4 DO - http://doi.org/10.3993/jfbi06201103 UR - https://global-sci.org/intro/article_detail/jfbi/4909.html KW - Virtual Garment KW - Laplacian Smooth KW - Mean-value Encoding and Decoding AB - In recent years, the area of sketch-based virtual garments generation has attracted more and more attention. In this paper, we propose a new method to develop 3D virtual garments by applying mesh deformation technology for the sketch-based approach. Compared to the traditional methods, the 3D garments, generated by our method, can be obtained easily and directly. The technology of mesh deformation in our paper involves two algorithms: Laplacian mesh editing/optimization, and mean-value geometry encoding/decoding. Given the modified positions for a set of anchor vertices, the mean-value encoding and decoding are used to transform the positions for the rest of the mesh vertices. Laplacian mesh editing and optimization are capable of improving the quality of the triangulation while preserving the shape properties of the original models. The resulting 3D garment validates the effectiveness of the proposed method.
Juanfen Jiang, Yueqi Zhong & Shanyuan Wang. (2019). 3D Mesh Deformation Technology for Generation of Virtual Garments. Journal of Fiber Bioengineering and Informatics. 4 (2). 129-136. doi:10.3993/jfbi06201103
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