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Computer Optics, 2016, Volume 40, Issue 6, Pages 887–894 (Mi co341)  

IMAGE PROCESSING, PATTERN RECOGNITION

Analysis of conditions that influence the properties of the constructed 3D-image features

N. G. Fedotova, A. A. Syemovb, A. V. Moiseevc

a Penza State University, Penza, Russia
b LLC «KomHelf», Penza, Russia
c Penza State Technological University, Penza, Russia

Abstract: In this article, we discuss theoretical results obtained using a new geometric method for 3D image analysis and recognition (a hypertrace transform). A mathematical model of the proposed method is briefly described. The theory of 3D image hypertriplet features with analytical structure is further developed. The feature properties are studied while they are being formed using a newly developed mathematical tool – a hypertrace matrix. The feature properties depend on a specific formation process and processing results of the hypertrace matrix.

Keywords: image, hypertrace transform, hypertrace matrix, hypertriplet feature, support grid on the sphere, features analytical structure.

Funding Agency Grant Number
Russian Foundation for Basic Research 15-07-04484-à
The work was partially funded by the Russian Foundation of Basic Research, grant No. 15-07-04484.


DOI: https://doi.org/10.18287/2412-6179-2016-40-6-887-894

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Full text: http://www.computeroptics.smr.ru/.../400616.html
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Received: 14.06.2016
Accepted:24.10.2016

Citation: N. G. Fedotov, A. A. Syemov, A. V. Moiseev, “Analysis of conditions that influence the properties of the constructed 3D-image features”, Computer Optics, 40:6 (2016), 887–894

Citation in format AMSBIB
\Bibitem{FedSyeMoi16}
\by N.~G.~Fedotov, A.~A.~Syemov, A.~V.~Moiseev
\paper Analysis of conditions that influence the properties of the constructed 3D-image features
\jour Computer Optics
\yr 2016
\vol 40
\issue 6
\pages 887--894
\mathnet{http://mi.mathnet.ru/co341}
\crossref{https://doi.org/10.18287/2412-6179-2016-40-6-887-894}


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