.png){kind=icon}
.png){kind=icon}
Return
Spin Contour
.png){kind=icon}
PRE
AI
DOI：10.1109/TMM.2016.2614219.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
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.
Keywords:
Descriptor
rigid registration
shape matching
spin contour
spin image
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
9.7
Papers:
4.5K
Citations:
2.4W
Organization
View more organizations