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We provide a dynamical perspective on the classical problem of 3D point cloud registration with correspondences.
H. Yang, P. Antonante, V. Tzoumas, and L. Carlone · 1909
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In perfect shape: Certifiably optimal 3D shape reconstruction from 2D landmarks
H. Yang and L. Carlone · 1911
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Random sample consensus: a paradigm for model fitting with application to image analysis and automated cartography
M. Fischler and R. Bolles · 1981
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Robot analysis and control
Haruhiko Asada and J-JE Slotine · 1986
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Least-squares fitting of two 3-D point sets
K.S. Arun, T.S. Huang, and S.D. Blostein · 1987
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Closed-form solution of absolute orientation using unit quaternions
Berthold K. P. Horn · 1987
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Applied nonlinear control
Jean-Jacques E Slotine, Weiping Li, et al · 1991
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Registering multiview range data to create 3d computer objects
G. Blais and M. D. Levine · 1995
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An algorithmic overview of surface registration techniques for medical imaging
M. A. Audette, F. P. Ferrie, and T. M. Peters · 2000
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Fast point feature histograms (fpfh) for 3d registration
R.B. Rusu, N. Blodow, and M. Beetz · 2009
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Model globally, match locally: Efficient and robust 3D object recognition
B. Drost, M. Ulrich, N. Navab, and S. Ilic · 2010
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Rgb-d mapping: Using kinect-style depth cameras for dense 3d modeling of indoor environments
P. Henry, M. Krainin, E. Herbst, X. Ren, and D. Fox · 2012
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Registration of 3d point clouds and meshes: a survey from rigid to nonrigid
G. K. L. Tam, Z. Q. Cheng, Y. K. Lai, F. C. Langbein, Y. Liu, D. Marshall, R. R. Martin, X. F. Sun, and P. L. Rosin · 2013
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Globally optimal inlier set maximization with unknown rotation and focal length
J.C. Bazin, Y. Seo, R.I. Hartley, and M. Pollefeys · 2014
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Robust reconstruction of indoor scenes
Segicp: Integrated deep semantic segmentation and pose estimation
J. M. Wong, V. Kee, T. Le, S. Wagner, G. L. Mariottini, A. Schneider, L. Hamilton, R. Chipalkatty, M. Hebert, D. M. S. Johnson, et al · 2017
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Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge
A. Zeng, K. T. Yu, S. Song, D. Suo, E. Walker, A. Rodriguez, and J. Xiao · 2017
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Efficient registration of high-resolution feature enhanced point clouds
Philipp Jauer, Ivo Kuhlemann, Ralf Bruder, Achim Schweikard, and Floris Ernst · 2018
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Label fusion: A pipeline for generating ground truth labels for real rgbd data of cluttered scenes
P. Marion, P. R. Florence, L. Manuelli, and R. Tedrake · 2018
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Fully convolutional geometric features
Christopher Choy, Jaesik Park, and Vladlen Koltun · 2019
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S. Choi, Q. Y. Zhou, and V. Koltun · 2015
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Visual-lidar odometry and mapping: Low-drift, robust, and fast
J. Zhang and S. Singh · 2015
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Gravitational approach for point set registration
Vladislav Golyanik, Sk Aziz Ali, and Didier Stricker · 2016
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Fast global registration
Q.Y. Zhou, J. Park, and V. Koltun · 2016
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Accelerated gravitational point set alignment with altered physical laws
Vladislav Golyanik, Christian Theobalt, and Didier Stricker · 2019
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A polynomial-time solution for robust registration with extreme outlier rates
H. Yang and L. Carlone · 2019
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A quaternion-based certifiably optimal solution to the Wahba problem with outliers
H. Yang and L. Carlone · 2019
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TEASER: Fast and Certifiable Point Cloud Registration
H. Yang, J. Shi, and L. Carlone · 2020
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