Adaptation of the Machine Vision System to Environmental Conditions
Marija Olegovna Korljakova1, Vladislav Olegovich Miloserdov2
1Marija Olegovna Korljakova, Bauman Moscow State Technical University (Kaluga branch), Kaluga, Russia.
2Vladislav Olegovich Miloserdov, Scientific Production Company “Turbocon”, Kaluga, Russia.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 1000-1003 | Volume-8 Issue-4, April 2019 | Retrieval Number: D6528048419/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The procedure for the formation of the frame processing algorithm training model in a machine vision system designed to solve the visual odometry issue has been considered. The main difficulties arising in matching the stereopair frames have been described. The scheme and the set of frame processing features have been proposed. The work of the teacher algorithm based on the neural network has been considered. The options of the algorithm adaptation to an applied task have been analyzed. The options to implement the system and the results of computational and field experiments have been presented.
Keywords: Learning From Examples, Machine Vision, Neural Networks.
Scope of the Article: Deep Learning