HIGHLIGHTS
- who: Xiaobo Hu and collaborators from the School of Computer Science, China University of Geosciences, Wuhan, China have published the article: NrtNet: An Unsupervised Method for 3D Non-Rigid Point Cloud Registration Based on Transformer, in the Journal: Sensors 2022, 22, 5128. of /2022/
- what: Corrnet3D proposes the idea of first obtaining the point correspondence in point Inspired by these successes the authors propose an unsupervised network for non-rigid point namely NrtNet which is the first network using a for unsupervised large deformation non-rigid point Specifically NrtNet consists of a feature extraction module . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.