arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1003.3499cs.CG
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点法向数据的几何重建

Geometric reconstruction from point-normal data

Eleanor G. Rieffel, Don Kimber, Jim Vaughan

摘要:

创建真实空间和对象的虚拟模型既繁琐又耗时。本文主要研究从基于图像的建模方法中获得的稀疏数据的几何重建问题。一些优雅的和简单的状态问题出现时,几何形状可以重建。我们描述的结果和反例,并列出开放的问题。

英文摘要:

Creating virtual models of real spaces and objects is cumbersome and time consuming. This paper focuses on the problem of geometric reconstruction from sparse data obtained from certain image-based modeling approaches. A number of elegant and simple-to-state problems arise concerning when the geometry can be reconstructed. We describe results and counterexamples, and list open problems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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