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KIAM Preprint № 80, Moscow, 2020
Authors: Sanzharov V.V., Frolov V.A., Voloboy A.G., Galaktionov V.A., Pavlov D.S.
Image datasets generation system for computer vision applications based on photorealistic rendering
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:
photorealistic rendering, 3d scene generation, computer vision, GPU
Publication language: russian,  pages: 29
Research direction:
Programming, parallel computing, multimedia
Russian source text:
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About authors:
  • Sanzharov Vadim Vladimirovich,  orcid.org/0000-0001-6455-6444,  Lomonosov Moscow State University
  • Frolov Vladimir Alexandrovich,  orcid.org/0000-0001-8829-9884KIAM RAS
  • Voloboy Alexey Gennadievich,  orcid.org/0000-0003-1252-8294KIAM RAS
  • Galaktionov Vladimir Alexandrovich,  orcid.org/0000-0001-6460-7539KIAM RAS
  • Pavlov Denis Sergeevich,  orcid.org/0000-0002-5894-2266,  Lomonosov Moscow State University