Fetching the paper…
Reading the bibliography…
Registration is a transformation estimation problem between two point clouds, which has a unique and critical role in numerous computer vision applications.
Computers and intractability
Michael R Garey and David S Johnson · 1979
Earlier work this paper cites.
A method for registration of 3-d shapes
Paul J Bes, Neil D McKay, et al · 1992
Earlier work this paper cites.
Object modelling by registration of multiple range images
Yang Chen and Gérard Medioni · 1992
Earlier work this paper cites.
A linear programming approach for the weighted graph matching problem
HA Almohamad and Salih O Duffuaa · 1993
Earlier work this paper cites.
Estimating 3-d rigid body transformations: a comparison of four major algorithms
David W Eggert, Adele Lorusso, and Robert B Fisher · 1997
Earlier work this paper cites.
Using spin images for efficient object recognition in cluttered 3d scenes
Andrew E. Johnson and Martial Hebert · 1999
Earlier work this paper cites.
Efficient variants of the icp algorithm
Szymon Rusinkiewicz and Marc Levoy · 2001
Earlier work this paper cites.
Robust registration of 2d and 3d point sets
Andrew W Fitzgibbon · 2003
Earlier work this paper cites.
Solving markov random fields using semi definite programming
Philip HS Torr · 2003
Earlier work this paper cites.
Lucas-kanade 20 years on: A unifying framework
Simon Baker and Iain Matthews · 2004
Earlier work this paper cites.
Linear least-squares optimization for point-to-plane icp surface registration
Kok-Lim Low · 2004
Earlier work this paper cites.
A spectral technique for correspondence problems using pairwise constraints
Marius Leordeanu and Martial Hebert · 2005
Earlier work this paper cites.
Probabilistic subgraph matching based on convex relaxation
Christian Schellewald and Christoph Schnörr · 2005
Earlier work this paper cites.
Pattern recognition and machine learning
Christopher M Bishop · 2006
Earlier work this paper cites.
Convergent tree-reweighted message passing for energy minimization
Vladimir Kolmogorov · 2006
Earlier work this paper cites.
A survey for the quadratic assignment problem
Eliane Maria Loiola, Nair Maria Maia de Abreu, Paulo Oswaldo Boaventura-Netto, Peter Hahn, and Tania Querido · 2007
Earlier work this paper cites.
Information retrieval for music and motion
Meinard Müller · 2007
Earlier work this paper cites.
Coarse orientation of terrestrial laser scans in urban environments
C Brenner, C Dold, and N Ripperda · 2008
Earlier work this paper cites.
Probabilistic graph and hypergraph matching
Ron Zass and Amnon Shashua · 2008
Earlier work this paper cites.
Optimal correspondences from pairwise constraints
Olof Enqvist, Klas Josephson, and Fredrik Kahl · 2009
Earlier work this paper cites.
Fast point feature histograms (fpfh) for 3d registration
Radu Bogdan Rusu, Nico Blodow, and Michael Beetz · 2009
Earlier work this paper cites.
Generalized-icp
Aleksandr Segal, Dirk Haehnel, and Sebastian Thrun · 2009
Earlier work this paper cites.
Magnebike: A magnetic wheeled robot with high mobility for inspecting complex-shaped structures
Fabien Tâche, Wolfgang Fischer, Gilles Caprari, Roland Siegwart, Roland Moser, and Francesco Mondada · 2009
Earlier work this paper cites.
Model globally, match locally: Efficient and robust 3d object recognition
Bertram Drost, Markus Ulrich, Nassir Navab, and Slobodan Ilic · 2010
Earlier work this paper cites.
Automated localization of a laser scanner in indoor environments using planar objects
Kourosh Khoshelham · 2010
Earlier work this paper cites.
Point set registration: Coherent point drift
Andriy Myronenko and Xubo Song · 2010
Earlier work this paper cites.
Unique shape context for 3d data description
Federico Tombari, Samuele Salti, and Luigi Di Stefano · 2010
Earlier work this paper cites.
A tensor-based algorithm for high-order graph matching
Olivier Duchenne, Francis Bach, In-So Kweon, and Jean Ponce · 2011
Earlier work this paper cites.
Visualsfm: A visual structure from motion system
Changchang Wu et al · 2011
Earlier work this paper cites.
Group-wise registration of point sets for statistical shape models
Abtin Rasoulian, Robert Rohling, and Purang Abolmaesumi · 2012
Earlier work this paper cites.
Kintinuous: Spatially extended kinectfusion
Thomas Whelan, Michael Kaess, Maurice Fallon, Hordur Johannsson, John Leonard, and John McDonald · 2012
Earlier work this paper cites.
Robust algorithm for registration of building point clouds using planar patches
Dong Zhang, Teng Huang, Guihua Li, and Minwei Jiang · 2012
Earlier work this paper cites.
Sparse iterative closest point
Sofien Bouaziz, Andrea Tagliasacchi, and Mark Pauly · 2013
Earlier work this paper cites.
Point cloud encoding for 3d building model retrieval
Jyun-Yuan Chen, Chao-Hung Lin, Po-Chi Hsu, and Chung-Hao Chen · 2013
Earlier work this paper cites.
The graph matching problem
Lorenzo Livi and Antonello Rizzi · 2013
Earlier work this paper cites.
A theory of minimal 3d point to 3d plane registration and its generalization
Srikumar Ramalingam and Yuichi Taguchi · 2013
Earlier work this paper cites.
A generative model for the joint registration of multiple point sets
Georgios D Evangelidis, Dionyssos Kounades-Bastian, Radu Horaud, and Emmanouil Z Psarakis · 2014
Earlier work this paper cites.
Super 4pcs fast global pointcloud registration via smart indexing
Nicolas Mellado, Dror Aiger, and Niloy J Mitra · 2014
Earlier work this paper cites.
Street view cross-sourced point cloud matching and registration
Furong Peng, Qiang Wu, Lixin Fan, Jian Zhang, Yu You, Jianfeng Lu, and Jing-Yu Yang · 2014
Earlier work this paper cites.
Shot: Unique signatures of histograms for surface and texture description
Samuele Salti, Federico Tombari, and Luigi Di Stefano · 2014
Earlier work this paper cites.
Iterative most-likely point registration (imlp): a robust algorithm for computing optimal shape alignment
Seth D Billings, Emad M Boctor, and Russell H Taylor · 2015
Earlier work this paper cites.
When to use laser scanning in building construction, 2015
Cathi Hayes and Eric Richie · 2015
Cited alongside, same era.
Tight relaxation of quadratic matching
Itay Kezurer, Shahar Z Kovalsky, Ronen Basri, and Yaron Lipman · 2015
Cited alongside, same era.
Relative scale estimation and 3d registration of multi-modal geometry using growing least squares
Nicolas Mellado, Matteo Dellepiane, and Roberto Scopigno · 2015
Cited alongside, same era.
A review of point cloud registration algorithms for mobile robotics
François Pomerleau, Francis Colas, Roland Siegwart, et al · 2015
Cited alongside, same era.
3d shapenets: A deep representation for volumetric shapes
Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015
Cited alongside, same era.
Go-icp: A globally optimal solution to 3d icp point-set registration
Jiaolong Yang, Hongdong Li, Dylan Campbell, and Yunde Jia · 2015
Open3d: A modern library for 3d data processing
Qian-Yi Zhou, Jaesik Park, and Vladlen Koltun · 2018
Later among the works it cites.
Lidar point cloud registration for sensing and reconstruction of unstructured terrain
Qingyuan Zhu, Jinjin Wu, Huosheng Hu, Chunsheng Xiao, and Wei Chen · 2018
Later among the works it cites.
Pointnetlk: Robust & efficient point cloud registration using pointnet
Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, and Simon Lucey · 2019
Later among the works it cites.
Fully convolutional geometric features
Christopher Choy, Jaesik Park, and Vladlen Koltun · 2019
Later among the works it cites.
3d local features for direct pairwise registration
Haowen Deng, Tolga Birdal, and Slobodan Ilic · 2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Factorized graph matching
Feng Zhou and Fernando De la Torre · 2015
Cited alongside, same era.
Statistical shape analysis: with applications in R
Ian L Dryden and Kanti V Mardia · 2016
Cited alongside, same era.
Convex hull indexed gaussian mixture model (ch-gmm) for 3d point set registration
Jingfan Fan, Jian Yang, Danni Ai, Likun Xia, Yitian Zhao, Xing Gao, and Yongtian Wang · 2016
Cited alongside, same era.
State estimation for shore monitoring using an autonomous surface vessel
Gregory Hitz, François Pomerlesau, Francis Colas, and Roland Siegwart · 2016
Cited alongside, same era.
A coarse-to-fine algorithm for registration in 3d street-view cross-source point clouds
Xiaoshui Huang, Jian Zhang, Qiang Wu, Lixin Fan, and Chun Yuan · 2016
Cited alongside, same era.
Closed-form solutions for estimating a rigid motion from plane correspondences extracted from point clouds
Kourosh Khoshelham · 2016
Cited alongside, same era.
Alma Eguizabal, Peter Schreier, and Juergen Schmidt · 2019
Later among the works it cites.
The perfect match: 3d point cloud matching with smoothed densities
Zan Gojcic, Caifa Zhou, Jan D Wegner, and Andreas Wieser · 2019
Later among the works it cites.
Alignnet-3d: Fast point cloud registration of partially observed objects
Johannes Groß, Aljoša Ošep, and Bastian Leibe · 2019
Later among the works it cites.
Fast registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement
Xiaoshui Huang, Lixin Fan, Qiang Wu, Jian Zhang, and Chun Yuan · 2019
Later among the works it cites.
Sdrsac: Semidefinite-based randomized approach for robust point cloud registration without correspondences
Huu M Le, Thanh-Toan Do, Tuan Hoang, and Ngai-Man Cheung · 2019
Later among the works it cites.
Analyzing the stability of underground mines using 3d point cloud data and discontinuum numerical analysis
Seung-Joong Lee and Sung-Oong Choi · 2019
Later among the works it cites.
Deepicp: An end-to-end deep neural network for 3d point cloud registration
Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, and Shiyu Song · 2019
Later among the works it cites.
Deepvcp: An end-to-end deep neural network for point cloud registration
Weixin Lu, Guowei Wan, Yao Zhou, Xiangyu Fu, Pengfei Yuan, and Shiyu Song · 2019
Later among the works it cites.
Application of laser scanning for rock mass characterization and discrete fracture network generation in an underground limestone mine
Juan J Monsalve, Jon Baggett, Richard Bishop, and Nino Ripepi · 2019
Later among the works it cites.
Clustermap building and relocalization in urban environments for unmanned vehicles
Zhichen Pan, Haoyao Chen, Silin Li, and Yunhui Liu · 2019
Later among the works it cites.
Non-rigid point set registration networks
Lingjing Wang, Jianchun Chen, Xiang Li, and Yi Fang · 2019
Later among the works it cites.
Deep closest point: Learning representations for point cloud registration
Yue Wang and Justin M Solomon · 2019
Later among the works it cites.
Prnet: Self-supervised learning for partial-to-partial registration
Yue Wang and Justin M Solomon · 2019
Later among the works it cites.
A polynomial-time solution for robust registration with extreme outlier rates
Heng Yang and Luca Carlone · 2019
Later among the works it cites.
Extreme relative pose estimation for rgb-d scans via scene completion
Zhenpei Yang, Jeffrey Z. Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman, and Qixing Huang · 2019
Later among the works it cites.
Elastic net constraint-based tensor model for high-order graph matching
Hu Zhu, Chunfeng Cui, Lizhen Deng, Ray CC Cheung, and Hong Yan · 2019
Later among the works it cites.
A review of point set registration: From pairwise registration to groupwise registration
Hao Zhu, Bin Guo, Ke Zou, Yongfu Li, Ka-Veng Yuen, Lyudmila Mihaylova, and Henry Leung · 2019
Later among the works it cites.
3d point cloud processing and learning for autonomous driving
Siheng Chen, Baoan Liu, Chen Feng, Carlos Vallespi-Gonzalez, and Carl Wellington · 2020
Later among the works it cites.
Deep global registration
Christopher Choy, Wei Dong, and Vladlen Koltun · 2020
Later among the works it cites.
Deep graph matching consensus
M. Fey, J. E. Lenssen, C. Morris, J. Masci, and N. M. Kriege · 2020
Later among the works it cites.
Feature-metric registration: A fast semi-supervised approach for robust point cloud registration without correspondences
Xiaoshui Huang, Guofeng Mei, and Jian Zhang · 2020
Later among the works it cites.
Global optimality for point set registration using semidefinite programming
José Pedro Iglesias, Carl Olsson, and Fredrik Kahl · 2020
Later among the works it cites.
High definition 3d map creation using gnss/imu/lidar sensor integration to support autonomous vehicle navigation
Veli Ilci and Charles Toth · 2020
Later among the works it cites.
Iterative distance-aware similarity matrix convolution with mutual-supervised point elimination for efficient point cloud registration
Jiahao Li, Changhao Zhang, Ziyao Xu, Hangning Zhou, and Chi Zhang · 2020
Later among the works it cites.
Deformation measurement of highway bridge head based on mobile tls data
Maohua Liu, Xiubo Sun, Yan Wang, Yue Shao, and Yingchun You · 2020
Later among the works it cites.
3dregnet: A deep neural network for 3d point registration
G Dias Pais, Srikumar Ramalingam, Venu Madhav Govindu, Jacinto C Nascimento, Rama Chellappa, and Pedro Miraldo · 2020
Later among the works it cites.
An application independent review of multimodal 3d registration methods
Evdokia Saiti and Theoharis Theoharis · 2020
Later among the works it cites.
Learning localized representations of point clouds with graph-convolutional generative adversarial networks
Diego Valsesia, Giulia Fracastoro, and Enrico Magli · 2020
Later among the works it cites.
Teaser: Fast and certifiable point cloud registration
Heng Yang, Jingnan Shi, and Luca Carlone · 2020
Later among the works it cites.
Learning to fuse local geometric features for 3d rigid data matching
Jiaqi Yang, Chen Zhao, Ke Xian, Angfan Zhu, and Zhiguo Cao · 2020
Later among the works it cites.
Color point cloud registration based on supervoxel correspondence
Yang Yang, Weile Chen, Muyi Wang, Dexing Zhong, and Shaoyi Du · 2020
Later among the works it cites.
Rpm-net: Robust point matching using learned features
Zi Jian Yew and Gim Hee Lee · 2020
Later among the works it cites.
Deepgmr: Learning latent gaussian mixture models for registration
Wentao Yuan, Benjamin Eckart, Kihwan Kim, Varun Jampani, Dieter Fox, and Jan Kautz · 2020
Later among the works it cites.
Deep learning based point cloud registration: an overview
Zhiyuan Zhang, Yuchao Dai, and Jiadai Sun · 2020
Later among the works it cites.
Siamesepointnet: A siamese point network architecture for learning 3d shape descriptor
J Zhou, MJ Wang, WD Mao, ML Gong, and XP Liu · 2020
Later among the works it cites.
Point cloud registration based on one-point ransac and scale-annealing biweight estimation
Jiayuan Li, Qingwu Hu, and Mingyao Ai · 2021
Closest in time.