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一种改进的三维网格凸度衡量方法

李瑞 刘磊 盛蕴 张桂戌

李瑞, 刘磊, 盛蕴, 张桂戌. 一种改进的三维网格凸度衡量方法[J]. 华东师范大学学报(自然科学版), 2017, (6): 63-75, 113. doi: 10.3969/j.issn.1000-5641.2017.06.006
引用本文: 李瑞, 刘磊, 盛蕴, 张桂戌. 一种改进的三维网格凸度衡量方法[J]. 华东师范大学学报(自然科学版), 2017, (6): 63-75, 113. doi: 10.3969/j.issn.1000-5641.2017.06.006
LI Rui, LIU Lei, SHENG Yun, ZHANG Gui-xu. An improved convexity measure for 3D meshes[J]. Journal of East China Normal University (Natural Sciences), 2017, (6): 63-75, 113. doi: 10.3969/j.issn.1000-5641.2017.06.006
Citation: LI Rui, LIU Lei, SHENG Yun, ZHANG Gui-xu. An improved convexity measure for 3D meshes[J]. Journal of East China Normal University (Natural Sciences), 2017, (6): 63-75, 113. doi: 10.3969/j.issn.1000-5641.2017.06.006

一种改进的三维网格凸度衡量方法

doi: 10.3969/j.issn.1000-5641.2017.06.006
基金项目: 

国家自然科学基金 61202291

详细信息
    作者简介:

    李瑞, 男, 硕士研究生, 研究方向为计算机图形学.E-mail:15201802836@163.com

    通讯作者:

    盛蕴, 男, 副教授, 硕士生导师, 研究方向为计算机图形学、计算机视觉等.E-mail:ysheng@cs.ecnu.edu.cn

  • 中图分类号: TP391.4

An improved convexity measure for 3D meshes

  • 摘要: 针对现有方法需要不断地调整投影方向、时间消耗大的缺点,提出了一种改进的三维网格凸度衡量方法,该方法只需在物体主方向投影一次,减少了时间消耗.该方法首先采用主成分分析(Principal Component Analysis,PCA)计算网格模型的主方向,然后计算模型在主方向上的投影面积和网格模型中每个面片在主方向上的投影面积之和,将它们的比值作为凸度值的初始估计,最后在主方向上对模型进行切片处理,计算所有切片的二维凸度值的加权平均,并将其作为凸度值的修正.实验结果证明,这种改进的凸度衡量方法在计算速度上比现有方法更快,而且更加符合人类的视觉感知.
  • 图  1  具有相同的体积与凸包体积的网格模型

    Fig.  1  Different meshes with identical mesh and convex hull volumes

    图  2  一个具有很多空洞的立方体模型

    Fig.  2  A cube with many holes

    图  8  中空立方体

    Fig.  8  The hollow cube

    图  3  Pface与Pview的示意图

    Fig.  3  Pface andPview

    图  4  模型在主方向坐标系下的投影以及C2Ce的值

    Fig.  4  Mesh silhouettes along the principal axes with the mesh convexity values calculated by C2 and Ce

    图  5  一个用PCA会产生错误估计的模型

    Fig.  5  An example whose convexity is overestimated by PCA

    图  6  三维网格切片示意图

    Fig.  6  An illustration of mesh slicing

    图  7  三维网格表面

    Fig.  7  The surface of 3d mesh

    图  9  不同凸度衡量方法的对比

    Fig.  9  The comparison of different convexity measures

    图  10  不断增大b时的凸度值

    Fig.  10  The hollow cubes with broadeningb

    图  11  一个具有深凹的立方体模型

    Fig.  11  A cube with a deep dent

    图  12  不同手势的凸度值

    Fig.  12  Hand gestures calculated by C3

    图  13  5类模型的样本

    Fig.  13  Samples of 5 types of meshes

    表  1  时间消耗对比

    Tab.  1  Comparison of time consumptions

    网格模型顶点数时间消耗
    C3耗时C2一次迭代C2总耗时
    67311.340.064 8648
    4 46345.110.090 5905
    9 26186.080.140 01 400
    14 872148.40.170 01 700
    34 817316.10.311 53 115
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-08-16
  • 刊出日期:  2017-11-25

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