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3D correspondence, i.e., a pair of 3D points, is a fundamental concept in computer vision.
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
Martin A Fischler and Robert C Bolles · 1981
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Method for registration of 3-d shapes
Paul J Besl and Neil D McKay · 1992
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Iterative point matching for registration of free-form curves and surfaces
Zhengyou Zhang · 1994
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A volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
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The complexity of the matrix eigenproblem
Victor Y Pan and Zhao Q Chen · 1999
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Networks, dynamics, and the small-world phenomenon
Duncan J Watts · 1999
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Multi-scale em-icp: A fast and robust approach for surface registration
Sébastien Granger and Xavier Pennec · 2002
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Guided sampling and consensus for motion estimation
Ben Tordoff and David W Murray · 2002
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Bayesian model estimation and selection for epipolar geometry and generic manifold fitting
Philip H. S. Torr · 2002
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Implementation techniques for geometric branch-and-bound matching methods
Thomas M Breuel · 2003
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Robust matching of 3d contours using iterative closest point algorithm improved by m-estimation
Shun’ichi Kaneko, Tomonori Kondo, and Atsushi Miyamoto · 2003
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Emerging topics in computer vision
Gerard Medioni and Sing Bing Kang · 2004
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Robust euclidean alignment of 3d point sets: the trimmed iterative closest point algorithm
Dmitry Chetverikov, Dmitry Stepanov, and Pavel Krsek · 2005
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Matching with prosac-progressive sample consensus
Ondrej Chum and Jiri Matas · 2005
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Amlesac: A new maximum likelihood robust estimator
Anton Konouchine, Victor Gaganov, and Vladimir Veznevets · 2005
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A spectral technique for correspondence problems using pairwise constraints
Marius Leordeanu and Martial Hebert · 2005
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Fast svd for large-scale matrices
Michael Holmes, Alexander Gray, and Charles Isbell · 2007
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Branch-and-bound methods for euclidean registration problems
Carl Olsson, Fredrik Kahl, and Magnus Oskarsson · 2008
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Optimal correspondences from pairwise constraints
Olof Enqvist, Klas Josephson, and Fredrik Kahl · 2009
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Global optimization through rotation space search
Richard I Hartley and Fredrik Kahl · 2009
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Consensus set maximization with guaranteed global optimality for robust geometry estimation
Hongdong Li · 2009
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Fast point feature histograms (fpfh) for 3d registration
Radu Bogdan Rusu, Nico Blodow, and Michael Beetz · 2009
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Generalized-icp
Aleksandr Segal, Dirk Haehnel, and Sebastian Thrun · 2009
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Sift flow: Dense correspondence across scenes and its applications
Ce Liu, Jenny Yuen, and Antonio Torralba · 2010
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Convergent iterative closest-point algorithm to accomodate anisotropic and inhomogenous localization error
Lena Maier-Hein, Alfred Michael Franz, Thiago R Dos Santos, Mirko Schmidt, Markus Fangerau, Hans-Peter Meinzer, and J Michael Fitzpatrick · 2011
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Deterministically maximizing feasible subsystem for robust model fitting with unit norm constraint
Yinqiang Zheng, Shigeki Sugimoto, and Masatoshi Okutomi · 2011
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Are we ready for autonomous driving? the kitti vision benchmark suite
Andreas Geiger, Philip Lenz, and Raquel Urtasun · 2012
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Globally optimal consensus set maximization through rotation search
Jean-Charles Bazin, Yongduek Seo, and Marc Pollefeys · 2013
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Compatibility-guided sampling consensus for 3-d point cloud registration
Siwen Quan and Jiaqi Yang · 2020
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Spinnet: Learning a general surface descriptor for 3d point cloud registration
Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, and Yulan Guo · 2021
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Pointdsc: Robust point cloud registration using deep spatial consistency
Xuyang Bai, Zixin Luo, Lei Zhou, Hongkai Chen, Lei Li, Zeyu Hu, Hongbo Fu, and Chiew-Lan Tai · 2021
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Predator: Registration of 3d point clouds with low overlap
Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, and Konrad Schindler · 2021
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Clipper: A graph-theoretic framework for robust data association
Parker C Lusk, Kaveh Fathian, and Jonathan P How · 2021
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Robin: a graph-theoretic approach to reject outliers in robust estimation using invariants
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Comparing icp variants on real-world data sets: Open-source library and experimental protocol
François Pomerleau, Francis Colas, Roland Siegwart, and Stéphane Magnenat · 2013
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Scene coordinate regression forests for camera relocalization in rgb-d images
Jamie Shotton, Ben Glocker, Christopher Zach, Shahram Izadi, Antonio Criminisi, and Andrew Fitzgibbon · 2013
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Discrete signal processing on graphs: Sampling theory
Siheng Chen, Rohan Varma, Aliaksei Sandryhaila, and Jelena Kovačević · 2015
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Go-icp: A globally optimal solution to 3d icp point-set registration
Jiaolong Yang, Hongdong Li, Dylan Campbell, and Yunde Jia · 2015
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Fast global registration
Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2016
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Guaranteed outlier removal for point cloud registration with correspondences
Alvaro Parra Bustos and Tat-Jun Chin · 2017
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Fast resampling of three-dimensional point clouds via graphs
Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, and Jelena Kovačević · 2017
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Jingnan Shi, Heng Yang, and Luca Carlone · 2021
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Ransic: Fast and highly robust estimation for rotation search and point cloud registration using invariant compatibility
Lei Sun · 2021
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Raft-3d: Scene flow using rigid-motion embeddings
Zachary Teed and Jia Deng · 2021
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Sac-cot: Sample consensus by sampling compatibility triangles in graphs for 3-d point cloud registration
Jiaqi Yang, Zhiqiang Huang, Siwen Quan, Zhaoshuai Qi, and Yanning Zhang · 2021
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Cofinet: Reliable coarse-to-fine correspondences for robust pointcloud registration
Hao Yu, Fu Li, Mahdi Saleh, Benjamin Busam, and Slobodan Ilic · 2021
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Estimation contracts for outlier-robust geometric perception
Luca Carlone · 2022
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The maximum consensus problem: recent algorithmic advances
Tat-Jun Chin and David Suter · 2022
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K-closest points and maximum clique pruning for efficient and effective 3-d laser scan matching
Yu-Kai Lin, Wen-Chieh Lin, and Chieh-Chih Wang · 2022
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Active visuo-tactile interactive robotic perception for accurate object pose estimation in dense clutter
Prajval Kumar Murali, Anirvan Dutta, Michael Gentner, Etienne Burdet, Ravinder Dahiya, and Mohsen Kaboli · 2022
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Geometric transformer for fast and robust point cloud registration
Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, and Kai Xu · 2022
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Vibus: Data-efficient 3d scene parsing with viewpoint bottleneck and uncertainty-spectrum modeling
Beiwen Tian, Liyi Luo, Hao Zhao, and Guyue Zhou · 2022
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Sc-wls: Towards interpretable feed-forward camera re-localization
Xin Wu, Hao Zhao, Shunkai Li, Yingdian Cao, and Hongbin Zha · 2022
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Snake: Shape-aware neural 3d keypoint field
Chengliang Zhong, Peixing You, Xiaoxue Chen, Hao Zhao, Fuchun Sun, Guyue Zhou, Xiaodong Mu, Chuang Gan, and Wenbing Huang · 2022
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Representation granularity enables time-efficient autonomous exploration in large, complex worlds
C Cao, H Zhu, Z Ren, H Choset, and J Zhang · 2023
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From semi-supervised to omni-supervised room layout estimation using point clouds
Huan-ang Gao, Beiwen Tian, Pengfei Li, Xiaoxue Chen, Hao Zhao, Guyue Zhou, Yurong Chen, and Hongbin Zha · 2023
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Lode: Locally conditioned eikonal implicit scene completion from sparse lidar
Pengfei Li, Ruowen Zhao, Yongliang Shi, Hao Zhao, Jirui Yuan, Guyue Zhou, and Ya-Qin Zhang · 2023
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3d registration with maximal cliques
Xiyu Zhang, Jiaqi Yang, Shikun Zhang, and Yanning Zhang · 2023
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3d implicit transporter for temporally consistent keypoint discovery
Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, et al · 2023
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