Reference#
Alexa, J. Behr, D. Cohen-Or, S. Fleishman, D. Levin, and C. T. Silva, Computing and rendering point set surfaces, IEEE Transactions on Visualization and Computer Graphics, 9(1), 3-15, 2003
Araújo and M. Oliveira, A robust statistics approach for plane detection in unorganized point clouds, Pattern Recognition, 2020
Bernardini and J. Mittleman and HRushmeier and C. Silva and G. Taubin: The ball-pivoting algorithm for surface reconstruction, IEEE transactions on visualization and computer graphics, 5(4), 349-359, 1999
Paul J. Besl and Neil D. McKay, A Method for Registration of 3D Shapes, PAMI, 1992.
Biber and W. Straßer, The Normal Distributions Transform: A New Approach to Laser Scan Matching, Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003), vol. 3, pp. 2743-2748, IEEE, 2003.
Chen and G. G. Medioni, Object modelling by registration of multiple range images, Image and Vision Computing, 10(3), 1992.
Choi, Q.-Y. Zhou, and V. Koltun, Robust Reconstruction of Indoor Scenes, CVPR, 2015.
Curless and M. Levoy. A volumetric method for building complex models from range images. In SIGGRAPH, 1996.
Edelsbrunner and D. G. Kirkpatrick and R. Seidel: On the shape of a set of points in the plane, IEEE Transactions on Information Theory, 29 (4): 551–559, 1983
Ester and H.-P. Kriegel and J Sander and X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, KDD, 1996.
Gao, SLAM Technology in Autonomous Driving and Robotics: From Theory to Practice (in Chinese), Publishing House of Electronics Industry, 2023.
Hexsel and H. Vhavle and Y. Chen, DICP: Doppler Iterative Closest Point Algorithm, RSS, 2022.
Katz and A. Tal and R. Basri, Direct visibility of point sets, SIGGRAPH, 2007.
Kazhdan and M. Bolitho and H. Hoppe: Poisson surface reconstruction, Eurographics, 2006.
Knapitsch and J. Park and Q. Zhou and V. Koltun: Tanks and Temples: Benchmarking Large-Scale Scene Reconstruction, ACM Transactions on Graphics, vol 36 (4), 2017
Loop: Smooth Subdivision Surfaces Based on Triangles, M.S. Mathematics thesis, University of Utah, 1987
Lorensen and H. E. Cline, Marching cubes: A high resolution 3d surface construction algorithm, ACM Computer Graphics, 1987
Newcombe, S. Izadi, O. Hilliges, D. Molyneaux, D. Kim, A. J. Davison, P. Kohli, J. Shotton, S. Hodges, and A. Fitzgibbon. KinectFusion: Real-time dense surface mapping and tracking. In ISMAR, 2011.
Pauly, R. Keiser, L. Kobbelt, and M. Gross, Spectral processing of point-sampled geometry, Proceedings of SIGGRAPH, 2001
Park, Q.-Y. Zhou, and V. Koltun, Colored Point Cloud Registration Revisited, ICCV, 2017.
Rusu, N. Blodow, and M. Beetz, Fast Point Feature Histograms (FPFH) for 3D registration, ICRA, 2009.
Rusinkiewicz and M. Levoy. Efficient variants of the ICP algorithm. In 3-D Digital Imaging and Modeling, 2001.
Silberman, D. Hoiem, P. Kohli and R. Fergus, Indoor Segmentation and Support Inference from RGBD Images, ECCV, 2012.
Song, S. Lichtenberg, and J. Xiao, SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite, CVPR, 2015.
Sorkine and M. Alexa, As-rigid-as-possible surface modeling, Symposium on Geometry processing, 2007.
Steinbrucker, J. Sturm, and D. Cremers, Real-time visual odometry from dense RGB-D images, In ICCV Workshops, 2011.
Sturm, N. Engelhard, F. Endres, W. Burgard and D. Cremers, A Benchmark for the Evaluation of RGB-D SLAM Systems, IROS, 2012.
Taubin, Curve and surface smoothing without shrinkage, Proceedings of IEEE International Conference on Computer Vision (ICCV), 1995
Vollmer, R. Mencl, and H. Müller, Improved Laplacian smoothing of noisy surface meshes, Computer Graphics Forum, 18(3), 131-138, 1999
Q.-Y. Zhou, and V. Koltun, Color Map Optimization for 3D Reconstruction with Consumer Depth Cameras, SIGGRAPH, 2014.
Q.-Y. Zhou, J. Park, and V. Koltun, Fast Global Registration, ECCV, 2016.
Babin, P. Giguère and F. Pomerleau: Analysis of Robust Functions for Registration Algorithms, ICRA, 2019.
Segal, D. Haehnel and S. Thrun: Generalized-icp, RSS, 2009.
Dong, Y. Lao, M. Kaess and V. Koltun: ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception, arXiv, 2021.
Jones, F. Durand, and M. Desbrun, Non-iterative, feature-preserving mesh smoothing, ACM Transactions on Graphics (SIGGRAPH), 22(3), 943-949, 2003