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首页 > 过刊浏览>2016年第27卷第10期 >2574-2586. DOI:10.13328/j.cnki.jos.005071
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数据驱动的三维服装快速建模
作者:
基金项目:

国家自然科学基金（61462051，61272192，61379112，61462056）；云南省应用基础研究计划面上项目（2014FB133），云南省应用基础研究计划重点项目（2014FA028）；昆明理工大学自然科学研究基金（201403119）


Data-Driven Method for Rapid 3D Garment Modeling
Author:
Fund Project:

National Natural Science Foundation of China (61462051, 61272192, 61379112, 61462056); Applied Fundamental Research Project of Yunnan Province (2014FB133); Applied Fundamental Research Key Project of Yunnan Province (2014FA028); Nature Science Foundation of Kunming University of Science and Technology (201403119)

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    摘要:

    提出一种数据驱动的三维服装快速建模方法，可以从样本中快速生成新的三维服装模型.首先，输入三维服装模型集，通过形状款式分析，对三维服装进行语义分割.其次，将分割后的三维服装部件模型聚类为四大类（上身、下身、袖子、配件），构成三维服装部件库.然后，以服装部件模型的面积和边界周长比例为几何形状特征，定义度量服装部件重新组合的款式描述算子.最后，对三维服装部件模型聚类后的源模型进行优化，并通过自然拼接输出新的三维服装.实验结果表明，该方法提高了三维服装建模的效率，能较好地满足目前大规模三维服装数量的需求.

    Abstract:

    This paper presents a data-driven method for rapid 3D garment modeling, which can efficiently generate new garments by examples. First, a semantic segmentation is applied to simultaneously segment and label the components in given 3D garments using shape analysis of garment styles. Second, the garment components are clustered into a garment component library with four categories including tops, bottoms, sleeves, and accessories. Third, a continuous style description of the 3D garments, characterized by the ratio of area and boundary length, is constructed to recommend components that can be regarded as a new 3D garment. The final new suitable garments are produced by optimizing two component meshes. Experimental results show that the presented method is able to satisfy the new requirements of online 3D model collections while ensuring the efficiency of 3D garment modeling.

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刘骊,王若梅,罗笑南,付晓东,刘利军.数据驱动的三维服装快速建模.软件学报,2016,27(10):2574-2586

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  • 收稿日期:2016-01-04
  • 最后修改日期:2016-03-29
  • 在线发布日期: 2016-08-11
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