Correspondence matching in unorganized 3D point clouds using Convolutional Neural Networks
作者:
Highlights:
• Contribution to 3D keypoint matching for unorganized point clouds using CNNs
• 3D neighborhoods projected into 2D RGBD patches for 3D keypoint matching
• Proposed correspondence matching with CNNs outperforms hand-crafted descriptors.
摘要
•Contribution to 3D keypoint matching for unorganized point clouds using CNNs•3D neighborhoods projected into 2D RGBD patches for 3D keypoint matching•Proposed correspondence matching with CNNs outperforms hand-crafted descriptors.
论文关键词:Matching,Point cloud,Convolutional Neural Networks
论文评审过程:Received 20 December 2017, Revised 10 October 2018, Accepted 27 February 2019, Available online 8 March 2019, Version of Record 1 April 2019.
论文官网地址:https://doi.org/10.1016/j.imavis.2019.02.013