基于散乱点集的曲面重建

计算机科学 ›› 2009, Vol. 36 ›› Issue (5): 269-272.

基于散乱点集的曲面重建

王树忠张佑生

山东信息职业技术学院,潍坊261041 安徽三联学院,合肥230601

出版日期:2018-11-16 发布日期:2018-11-16

WANG Shu-zhong ZHANG You-sheng （Shandong Vocational Information College,Weifang 261041,China;Anhui Sanlian College,Hefei 230601,China）

Online:2018-11-16 Published:2018-11-16

摘要/Abstract

摘要： 基于散乱点集的曲面重建是计算机图形学和虚拟现实等领域的研究热点。在对基于散乱点集的曲面重建经典算法进行综述的基础上，较详细地讨论了基于成长型神经网络的曲面重建方法和基于法向量场的曲面重建方法。

关键词: 散乱点集曲面重建增长型神经网络法向量场

Abstract: Mesh surface reconstruction based on scattered point sets is the hotspot of research in the fields of computer graphics and virtual reality and so on. Some of the classic surface reconstruction algorithms were reviewed and their drawbacks were analyzed fi

Key words: Scattered point sets,Surface reconstruction, Growing cell structure,Normal vector field

王树忠张佑生. 基于散乱点集的曲面重建[J]. 计算机科学, 2009, 36(5): 269-272. https://doi.org/

WANG Shu-zhong ZHANG You-sheng （Shandong Vocational Information College,Weifang 261041,China;Anhui Sanlian College,Hefei 230601,China）. [J]. Computer Science, 2009, 36(5): 269-272. https://doi.org/

参考文献

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed