北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (5): 83-90.doi: 10.13190/j.jbupt.2018-266

• 论文 • 上一篇    下一篇

基于重心映射的三角形网格参数化方法研究与实现

管焱然1, 奥利弗·范凯克1, 管有庆2   

  1. 1. 卡尔顿大学 计算机科学学院, 渥太华 K1S 5B6;
    2. 南京邮电大学 物联网学院, 南京 210003
  • 收稿日期:2018-11-16 出版日期:2019-10-28 发布日期:2019-11-25
  • 通讯作者: 管有庆(1963-),男,副研究员,E-mail:guanyouq@njupt.edu.cn. E-mail:guanyouq@njupt.edu.cn
  • 作者简介:管焱然(1994-),男,硕士生.
  • 基金资助:
    江苏省高校自然科学研究计划项目(05KJD520146)

Research and Implementation of Triangle Mesh Parameterization Method Based on Barycentric Mapping

GUAN Yan-ran1, Oliver van Kaick1, GUAN You-qing2   

  1. 1. School of Computer Science, Carleton University, Ottawa K1S 5B6, Canada;
    2. School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
  • Received:2018-11-16 Online:2019-10-28 Published:2019-11-25

摘要: 针对在几何处理领域有着广泛应用的三角形网格参数化问题,研究了基于重心映射的三角形网格参数化方法.利用geometry-processing-js类库中的半边数据结构,采用均匀拉普拉斯权重、拉普拉斯-贝尔特拉米权重和中值权重3种加权方案,实现了重心映射法,并根据三角形的形变量分析了参数化结果.结果表明,中值权重为重心映射法的最优加权方案.

关键词: 参数化, 重心映射, 三角形网格, 几何处理

Abstract: The parameterization of triangle meshes has numerous applications in the field of geometry processing. Using the halfedge-based data structure provided by geometry-processing-js, this paper researches on the mesh parameterization and its implementation based on barycentric mapping, as well as three weight sets applied in barycentric mapping, namely, the uniform Laplacian weights, the Laplace-Beltrami weights, and the mean value weights. A comparison between the results of parameterization is given based on the distortion caused to the triangles, and a conclusion is given that the mean value weights provide the best weighting scheme for barycentric mapping.

Key words: parameterization, barycentric mapping, triangle mesh, geometry processing

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