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Preprints of the Keldysh Institute of Applied Mathematics, 2020, 080, 29 pp.
DOI: https://doi.org/10.20948/prepr-2020-80 (Mi ipmp2871) 		 
Image datasets generation system for computer vision applications based on photorealistic rendering

V. V. Sanzharov, V. A. Frolov, A. G. Voloboy, V. A. Galaktionov, D. S. Pavlov
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DOI: https://doi.org/10.20948/prepr-2020-80
Abstract: In this paper we present an approach to image datasets generation based on photorealistic rendering with controlled parameter randomization of 3d scenes. These datasets can be used, for example, for training artificial intelligence models in computer vision. We describe the architecture of system implementing proposed approach and show examples of applying it to specific problems.
Keywords: synthesis of images, training of neural networks, generation of interiors.
Funding agency Grant number
Russian Foundation for Basic Research 18-31-20032_мол_а_вед
Document Type: Preprint
Language: Russian
Citation: V. V. Sanzharov, V. A. Frolov, A. G. Voloboy, V. A. Galaktionov, D. S. Pavlov, “Image datasets generation system for computer vision applications based on photorealistic rendering”, Keldysh Institute preprints, 2020, 080, 29 pp.
Citation in format AMSBIB
\Bibitem{SanFroVol20}
\by V.~V.~Sanzharov, V.~A.~Frolov, A.~G.~Voloboy, V.~A.~Galaktionov, D.~S.~Pavlov
\paper Image datasets generation system for computer vision applications based on photorealistic rendering
\jour Keldysh Institute preprints
\yr 2020
\papernumber 080
\totalpages 29
\mathnet{http://mi.mathnet.ru/ipmp2871}
\crossref{https://doi.org/10.20948/prepr-2020-80}
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    		Препринты Института прикладной математики им. М. В. Келдыша РАН
     
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