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Arun, K.S., Huang, T.S. and Blostein, S.D. (1987) Least-sSquares Fitting of Two 3-D Point Sets. IEEE Transactions on Pattern Recognition and Machine Intelligence (PAMI), 9, 698-700.

has been cited by the following article:

• TITLE: A Refinement of Extracting Approximate Symmetry Planes Based on Least Square

  AUTHORS: Jun Mao, Hiroyuki Shioya

  KEYWORDS: Approximate Symmetry Plane; 3D Point Set; Least Squares

  JOURNAL NAME: Journal of Computer and Communications, Vol.2 No.4, March 18, 2014

  ABSTRACT: Extracting approximate symmetry planes is a challenge due to the difficulty of accurately measuring numerical values. Introducing the approximate symmetry planes of a 3D point set, this paper presents a new method by gathering normal vectors of potential of the planes, clustering the high probability ones, and then testing and verifying the planes. An experiment showed that the method is effective, robust and universal for extracting the complete approximate planes of symmetry of a random 3D point set.