References
- Besl P J, Mckay H D. A method for registration of 3-D shapes[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1992, 14(2):0-256.
- Peter Biber and Wolfgang Straßer. The normal distributions transform: A new approach to laser scan matching. In Proceedings of the IEEE International Conference on Intelligent Robots and Systems (IROS), pages 2743-2748, Las Vegas, USA, October 2003.
- Greenspan M, Yurick M. [IEEE Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. - Banff, Alberta, Canada (6-10 Oct. 2003)] Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings. - Approximate K-D tree search for efficient ICP[J]. 2003:442-448.
- Andreas Nüchter, Lingemann K, Hertzberg J. Cached k-d tree search for ICP algorithms[C]// Sixth International Conference on 3-D Digital Imaging and Modeling, 3DIM 2007, 21-23 August 2007, Montreal, Quebec, Canada. IEEE, 2007.
- Timothée Jost, Heinz Hügli. Fast ICP Algorithms for Shape Registration[M]// Pattern Recognition. Springer Berlin Heidelberg, 2008.
- Silva L, Bellon O R Boyer K L. Precision range image registration using a robust surface interpenetration measure and enhanced genetic algorithms. [J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2005, 27(5):762-776.
- Du S, Liu J, Zhang C, Zhu J, & Li K. Probability iterative closest point algorithm for m-D point set registration with noise[J]. Neurocomputing, 2015, 157:187-198.
- Chetverikov D, Stepanov D, Krsek P. Robust Euclidean alignment of 3D point sets: the trimmed iterative closest point algorithm[J]. Image and Vision Computing, 2005, 23(3):299-309.
- Zhu Dehai. PCL course of dianyun Library [M]: Beijing University of Aeronautics and Astronautics, 2012.
- Frome A, Huber R, Kolluri T, Buelow M.J. Recognizing Objects in Range Data Using Regional Point Descriptors. Proceedings of the European Conference on Computer Vision (ECCV), Prague, Czech Republic, 11-14 May 2004; 3, pp. 224-237.
- Rusu R B, Blodow N, Beetz M. Fast Point Feature Histograms (FPFH) for 3D registration[C]// Robotics and Automation, 2009. ICRA ‘09. IEEE International Conference on. IEEE, 2009.
- Zhang Z. Iterative point matching for registration of free-form curves and surfaces[J]. International Journal of Computer Vision, 1994, 13(2):119-152.
- Chen Y, Gérard Medioni. Object modeling by registration of multiple range images[J]. Image and Vision Computing, 1992, 10(3):145-155.