.png){kind=icon}
返回
Surface reconstruction techniques: a review
.png){kind=icon}
PRE
AI
DOI：10.1007/s10462-012-9329-z.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Surface reconstruction means that retrieve the data by scanning an object using a device such as laser scanner and construct it using the computer to gain back the soft copy of data on that particular object. It is a reverse process and is very useful especially when that particular object original data is missing without doing any backup. Hence, by doing so, the data can be recollected and can be stored for future purposes. The type of data can be in the form of structure or unstructured points. The accuracy of the reconstructed result should be concerned because if the result is incorrect, hence it will not exactly same like the original shape of the object. Therefore, suitable methods should be chosen based on the data used. Soft computing methods also have been used in the reconstruction field. This papers highlights the previous researches and methods that has been used in the surface reconstruction field.
Keyword:
Surface reconstruction
Soft computing methods
Unstructured points
期刊
IF:
13.9
论文数:
6.1K
被引数:
1.9W
机构
引用论文
Shape reconstruction of a perfectly conducting scatterer using differential evolution and particle swarm optimization使用差分进化和粒子群优化对完美导电的散射体进行形状重建
.png){kind=icon}
PREAI
分享收藏分享收藏分享收藏分享收藏
查看更多内容