Affiliation of Author(s):理学院
Journal:J. Comput. Syst. Sci. Int.
Abstract:Abstract: In this paper, we propose a training system for visual markers that provides the generation and subsequent recognition (under real-world conditions) of stylized images that contain information encoded by a sequence of bits. New types of neural network layers that make the recognition process tolerant to external noise are developed. The training process is based on the end-to-end principle, which enables automatic training for the intermediate stages of the model. The experimental results that demonstrate the performance of the system in encoding and decoding artificial markers are presented. © 2019, Pleiades Publishing, Ltd.
ISSN No.:1064-2307
Translation or Not:no
Date of Publication:2019-05-01
Co-author:Grinchuk, O.V.,Tsurkov, V.I.
Correspondence Author:WLP
Date of Publication:2019-05-01