Article · Russian Digital Libraries Journal · September 12, 2021

Generation of Three-Dimensional Synthetic Datasets

Vlada Vladimirovna Kugurakova, Vitaly Denisovich Abramov, Daniil Kostyuk, Regina Airatovna Sharaeva, Rim Radikovich Gazizov, Murad Rustemovich Khafizov

Rim Gazizov

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Abstract

The work is devoted to the description of the process of developing a universal toolkit for generating synthetic data for training various neural networks. The approach used has shown its success and effectiveness in solving various problems, in particular, training a neural network to recognize shopping behavior inside stores through surveillance cameras and training a neural network for recognizing spaces with augmented reality devices without using auxiliary infrared cameras. Generalizing conclusions allow planning the further development of technologies for generating three-dimensional synthetic data.

Advanced Neural Network ApplicationsGenerative Adversarial Networks and Image SynthesisSimulation and Modeling Applicationssynthetic data generationneural network training datasurveillance cameras

Generation of Three-Dimensional Synthetic Datasets

Abstract

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