PEAL: Prior-embedded Explicit Attention Learning for Low-overlap Point Cloud Registration
Author:
Affiliation:
1. Hangzhou Dianzi University
2. Shanghai Jiaotong University
3. Zhejiang Gongshang University
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203464.pdf?arnumber=10203464
Reference39 articles.
1. 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
2. REGTR: End-to-end Point Cloud Correspondences with Transformers
3. The Perfect Match: 3D Point Cloud Matching With Smoothed Densities
4. 3dfeat-net: Weakly supervised local 3d features for point cloud registration;yew;In ECCV,2018
5. Pri3D: Can 3D Priors Help 2D Representation Learning?
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