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Chen, Y. and Medioni, G. (1991) Object modeling by Registration of Multiple Range Images. Proceedings of the 1991 IEEE International Conference on Robotics and Automation, Sacramento, CA, 9-11 April 1991, 2724-2729. http://dx.doi.org/10.1109/ROBOT.1991.132043

has been cited by the following article:

• TITLE: An Improved Iterative Closest Points Algorithm

  AUTHORS: Hao Yang, Jialan Jiang, Guowei Zhao, Jie Zhao

  KEYWORDS: The Relative Position and Pose Measurement of Space Target, ICP Algorithm, KD-TREE

  JOURNAL NAME: World Journal of Engineering and Technology, Vol.3 No.3C, October 23, 2015

  ABSTRACT: Visual method including binocular stereo vision method and monocular vision method of the relative position and pose measurement for space target has become relatively mature, and many researchers focus on the method based on three-dimension measurement recently. ICP alignment, which is the key of three-dimension pattern measurement method, has the problem of low efficiency in large data sets. Considering this problem, an improved ICP algorithm is proposed in this paper. The improved ICP algorithm is the combination of the original ICP algorithm and KD-TREE. The experimental comparison between the improved ICP algorithm and the traditional ICP algorithm in efficiency has been given in this paper, which shows that the improved ICP algorithm can get much better performance.