Reference#

[ArujoAndOliveira2020]
  1. Araújo and M. Oliveira, A robust statistics approach for plane detection in unorganized point clouds, Pattern Recognition, 2020

[Bernardini1999]
  1. 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

[BeslAndMcKay1992]

Paul J. Besl and Neil D. McKay, A Method for Registration of 3D Shapes, PAMI, 1992.

[ChenAndMedioni1992]
  1. Chen and G. G. Medioni, Object modelling by registration of multiple range images, Image and Vision Computing, 10(3), 1992.

[Choi2015]
  1. Choi, Q.-Y. Zhou, and V. Koltun, Robust Reconstruction of Indoor Scenes, CVPR, 2015.

[Curless1996]
  1. Curless and M. Levoy. A volumetric method for building complex models from range images. In SIGGRAPH, 1996.

[Edelsbrunner1983]
  1. 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

[Ester1996]
  1. 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.

[Katz2007]
  1. Katz and A. Tal and R. Basri, Direct visibility of point sets, SIGGRAPH, 2007.

[Kazhdan2006]
  1. Kazhdan and M. Bolitho and H. Hoppe: Poisson surface reconstruction, Eurographics, 2006.

[Knapitsch2017]
  1. 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

[Loop1987]
  1. Loop: Smooth Subdivision Surfaces Based on Triangles, M.S. Mathematics thesis, University of Utah, 1987

[LorensenAndCline1987]
    1. Lorensen and H. E. Cline, Marching cubes: A high resolution 3d surface construction algorithm, ACM Computer Graphics, 1987

[Newcombe2011]
    1. 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.

[Park2017]
  1. Park, Q.-Y. Zhou, and V. Koltun, Colored Point Cloud Registration Revisited, ICCV, 2017.

[Rasu2009]
  1. Rusu, N. Blodow, and M. Beetz, Fast Point Feature Histograms (FPFH) for 3D registration, ICRA, 2009.

[Rusinkiewicz2001]
  1. Rusinkiewicz and M. Levoy. Efficient variants of the ICP algorithm. In 3-D Digital Imaging and Modeling, 2001.

[Silberman2012]
  1. Silberman, D. Hoiem, P. Kohli and R. Fergus, Indoor Segmentation and Support Inference from RGBD Images, ECCV, 2012.

[Song2015]
  1. Song, S. Lichtenberg, and J. Xiao, SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite, CVPR, 2015.

[SorkineAndAlexa2007]
  1. Sorkine and M. Alexa, As-rigid-as-possible surface modeling, Symposium on Geometry processing, 2007.

[Steinbrucker2011]
  1. Steinbrucker, J. Sturm, and D. Cremers, Real-time visual odometry from dense RGB-D images, In ICCV Workshops, 2011.

[Strum2012]
  1. Sturm, N. Engelhard, F. Endres, W. Burgard and D. Cremers, A Benchmark for the Evaluation of RGB-D SLAM Systems, IROS, 2012.

[Taubin1995]
  1. Taubin: Curve and surface smoothing without shrinkage, ICCV, 1995.

[Zhou2014]

Q.-Y. Zhou, and V. Koltun, Color Map Optimization for 3D Reconstruction with Consumer Depth Cameras, SIGGRAPH, 2014.

[Zhou2016]

Q.-Y. Zhou, J. Park, and V. Koltun, Fast Global Registration, ECCV, 2016.

[Babin2019]
  1. Babin, P. Giguère and F. Pomerleau: Analysis of Robust Functions for Registration Algorithms, ICRA, 2019.

[Segal2009]
  1. Segal, D. Haehnel and S. Thrun: Generalized-icp, RSS, 2009.

[Dong2021]
  1. Dong, Y. Lao, M. Kaess and V. Koltun: ASH: A Modern Framework for Parallel Spatial Hashing in 3D Perception, arXiv, 2021.