Feature-metric Registration: A Fast Semi-supervised Approach for Robust
Point Cloud Registration without Correspondences

Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences

3 May 2020

Xiaoshui Huang

Papers citing "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"

8 / 8 papers shown

Title
Matching Distance and Geometric Distribution Aided Learning Multiview Point Cloud Registration Shiqi Li Jihua Zhu Yifan Xie Naiwen Hu Di Wang 3DPC 123 3 0 06 May 2025
A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration Richard Cheng Chavdar Papozov D. Helmick Mark Tjersland 3DPC 86 1 0 31 Jan 2025
LPRnet: A self-supervised registration network for LiDAR and photogrammetric point clouds Chen Wang Yanfeng Gu Xian Li 3DPC 99 0 0 10 Jan 2025
PseudoNeg-MAE: Self-Supervised Point Cloud Learning using Conditional Pseudo-Negative Embeddings Sutharsan Mahendren Saimunur Rahman Piotr Koniusz Tharindu Fernando Sridha Sridharan Clinton Fookes Peyman Moghadam 3DPC 53 0 0 24 Sep 2024
3DRegNet: A Deep Neural Network for 3D Point Registration Goncalo Dias Pais Srikumar Ramalingam V. Govindu Jacinto C. Nascimento Rama Chellappa Pedro Miraldo 3DPC 3DV 66 220 0 02 Apr 2019
Non-Rigid Point Set Registration Networks Lingjing Wang Jianchun Chen Xiang Li Yi Fang 3DPC 16 38 0 02 Apr 2019
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities Zan Gojcic Caifa Zhou Jan Dirk Wegner A. Wieser 3DPC 3DV 57 455 0 16 Nov 2018
Joint Alignment of Multiple Point Sets with Batch and Incremental Expectation-Maximization Georgios D. Evangelidis Radu Horaud 3DPC 79 133 0 06 Sep 2016