| 本文已被：浏览 5746次 下载 9430次 |
码上扫一扫！ |
|
|
| 数据驱动的三维服装快速建模 |
|
刘骊1, 王若梅2, 罗笑南2,3, 付晓东1, 刘利军1
|
|
1.云南省计算机技术应用重点实验室(昆明理工大学 信息工程与自动化学院), 云南 昆明 650500;2.中山大学 国家数字家庭工程技术研究中心, 广东 广州 510006;3.多媒体与智能软件技术北京市重点实验室(北京工业大学 城市交通学院), 北京 100124
|
|
| 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. |
| 关键词: 三维服装建模 形状分析 语义分割 几何造型 数据驱动 |
| DOI：10.13328/j.cnki.jos.005071 |
| 分类号: |
| 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 |
|
LIU Li1, WANG Ruo-Mei2, LUO Xiao-Nan2,3, FU Xiao-Dong1, LIU Li-Jun1
|
|
1.Computer Technology Application Key Laboratory of Yunnan Province(Faculty of Information Engineering and Automation, Kunming University of Science and Technology), Kunming 650500, China;2.National Engineering Research Center of Digital Life, Sun Yat-Sen University, Guangzhou 510006, China;3.Beijing Key Laboratory of Multimedia and Intelligent Software Technology(College of Metropolitan Transportation, Beijing University of Technology), Beijing 100124, China
|
| 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. |
| Key words: D garment modeling shape analysis semantic segmentation geometric modeling data driven |
