.png){kind=icon}
返回
Spin Contour
.png){kind=icon}
PRE
AI
DOI：10.1109/TMM.2016.2614219.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Spin image is a powerful shape descriptor, useful in a point set or surface registration. However, the usage of spin images is hampered by issues such as sensitivity to noise and sampling rate and time-consuming matching process. We propose a novel spin-image-based local surface descriptor named spin contour to alleviate these problems. This descriptor is not an image but a 2-D point set. Comparisons showthat the spin contour is robust to noise and sampling differences. The matching time is also improved over spin images.
Keyword:
Descriptor
rigid registration
shape matching
spin contour
spin image
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.7
论文数:
4.5K
被引数:
2.4W
机构
引用论文
.png){kind=icon}
分享收藏分享收藏
分享收藏
查看更多内容