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Program Systems: Theory and Applications, 2017, Volume 8, Issue 4, Pages 209–220
DOI: https://doi.org/10.25209/2079-3316-2017-8-4-209-220 (Mi ps277) 		 
Artificial Intelligence, Intelligent Systems, Neural Networks

The method of comparing a 3D object model with a 2D image based on invariant moments

D. T. Nguyena, M. V. Khacumovb

a RUDN University
b Institute for Systems Analysis, FRC "Computer Science and Control" of RAS
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DOI: https://doi.org/10.25209/2079-3316-2017-8-4-209-220
Abstract: The solution of the comparison problem comes down to that of optimizing the orientation of the 3D object model in order to achieve maximum matching of its projection to the presented image. The closeness measure is the Euclidean distance between invariant moments of the compared 2D images. In the presented formulation, the projection of the 3D model is a grayscale image and the brightness of the pixel is determined by the distance to the viewing plane. (In Russian).
Key words and phrases: 3D object model, range image, projection, comparison, orientation control, invariant moments.
Received: 01.12.2017
Accepted: 28.12.2017
Document Type: Article
UDC: 004.93
Language: Russian
Citation: D. T. Nguyen, M. V. Khacumov, “The method of comparing a 3D object model with a 2D image based on invariant moments”, Program Systems: Theory and Applications, 8:4 (2017), 209–220
Citation in format AMSBIB
\Bibitem{NguKha17}
\by D.~T.~Nguyen, M.~V.~Khacumov
\paper The method of comparing a 3D object model with a 2D image based on invariant moments
\jour Program Systems: Theory and Applications
\yr 2017
\vol 8
\issue 4
\pages 209--220
\mathnet{http://mi.mathnet.ru/ps277}
\crossref{https://doi.org/10.25209/2079-3316-2017-8-4-209-220}
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