Joanna Janicka, Jacek Rapinski
Modified RANSAC transformation of coordinates burdened with outliers
Conference Information: |
9th International Conference “Environmental Engineering”, 22–23 May 2014, Vilnius, LITHUANIA |
Source: |
ICEE-2014 - International Conference on Environmental
Engineering |
Book Series: |
International Conference on Environmental Engineering
(ICEE) Selected papers |
ISSN: |
eISSN 2029-7092 online |
ISBN: |
eISBN 978-609-457-640-9 |
ISBN: |
ISBN 978-609-457-690-4 CD |
Year: |
2014 |
Publisher: |
Vilnius Gediminas Technical University Press Technika |
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Abstract
One of the method that can be used in the process of coordinate
transformation, where the coordinate of some points may be affected
by gross errors, is a method called RANSAC (Random Sample and Consensus).
The stage hypothesis of this method is related to the concept of the
minimal sample set (MSS) which is also called a hypothetical model.
First minimal sample set is randomly selected from the input dataset
and the model parameters are computed using only the elements
of the MSS. Next, in testing step, RANSAC iteratively checks
which observations of the entire dataset are consistent with the hypothetical model.
The authors presented the possibility of using the RANSAC method
in the process of transformation parameters estimation with
some modification. The authors propose the use of some
functions during the selection the MSS from the input
data set so that they were not chosen randomly.
Keywords: RANSAC; transformation of coordinates; parameter estimation.
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