A Closed-Form Soution for the similarity Transformation Parameters of Two Planar Point Sets

Authors

  • Shamsul Shamsudin Design of Innovative Machines Laboratory (DIMLab), University of Dayton, 300 College Park, Dayton OH 45469, U.S.A
  • Andrew Murray Design of Innovative Machines Laboratory (DIMLab), University of Dayton, 300 College Park, Dayton OH 45469, U.S.A

DOI:

https://doi.org/10.2022/jmet.v5i1.334

Abstract

Image registration covers the set of techniques used in matching images of the same scene. A subset of the image registration problem, identifying the parameters in a similarity transformation, has emerged as useful in a recently defined area of machine design: designing mechanisms for rigidbody shape-change. First, this brief paper shows a potential use for image registration techniques outside the field of machine vision. Second, it presents a closed-form solution for the similarity transformation parameters when the point sets to be matched are restricted to two-dimensional space as is needed in the aforementioned design problem.

 

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Published

2013-06-01

Issue

Section

Others