Form of presentation | Articles in international journals and collections |
Year of publication | 2023 |
Язык | русский |
|
Gabdullina Dinara Rustamovna, author
Zykov Evgeniy Yurevich, author
Kugurakova Vlada Vladimirovna, author
|
Bibliographic description in the original language |
Gabdullina D.R., Zykov E.Yu., Kugurakova V.V. Using OpenCV for real-time image recognition through augmented reality devices // The 2023 International Conference on Artificial Life and Robotics (ICAROB2023), Feb. 9 to 12, on line, Oita, Japan. 2023. pp.868-874. |
Annotation |
ICAROB 2023: Proceedings... |
Keywords |
Augmented reality, Pattern recognition, Computer vision, Optical control, Industrial automation |
The name of the journal |
ICAROB 2023: Proceedings...
|
URL |
https://alife-robotics.co.jp/members2023/icarob/data/html/data/GS/GS2/GS2-4.pdf |
Please use this ID to quote from or refer to the card |
https://repository.kpfu.ru/eng/?p_id=281109&p_lang=2 |
Full metadata record |
Field DC |
Value |
Language |
dc.contributor.author |
Gabdullina Dinara Rustamovna |
ru_RU |
dc.contributor.author |
Zykov Evgeniy Yurevich |
ru_RU |
dc.contributor.author |
Kugurakova Vlada Vladimirovna |
ru_RU |
dc.date.accessioned |
2023-01-01T00:00:00Z |
ru_RU |
dc.date.available |
2023-01-01T00:00:00Z |
ru_RU |
dc.date.issued |
2023 |
ru_RU |
dc.identifier.citation |
Gabdullina D.R., Zykov E.Yu., Kugurakova V.V. Using OpenCV for real-time image recognition through augmented reality devices // The 2023 International Conference on Artificial Life and Robotics (ICAROB2023), Feb. 9 to 12, on line, Oita, Japan. 2023. pp.868-874. |
ru_RU |
dc.identifier.uri |
https://repository.kpfu.ru/eng/?p_id=281109&p_lang=2 |
ru_RU |
dc.description.abstract |
ICAROB 2023: Proceedings... |
ru_RU |
dc.description.abstract |
This article describes the peculiarities of writing libraries and the rapid development of augmented reality applications on the Unity platform and the OpenCV open-source library. The application of OpenCV functions to work with augmented reality objects is discussed in detail. On their basis, algorithms and methods were developed and an open library was created that implements the stable recognition of objects in various conditions by means of binding to the marker and their visualization on the augmented reality devices. On the basis of the developed library, a complete application was created to illustrate the possibility of applying virtual reality technologies for optical control of the assembly of radio electronic boards and for personnel training. |
ru_RU |
dc.language.iso |
ru |
ru_RU |
dc.subject |
Augmented reality |
ru_RU |
dc.subject |
Pattern recognition |
ru_RU |
dc.subject |
Computer vision |
ru_RU |
dc.subject |
Optical control |
ru_RU |
dc.subject |
Industrial automation |
ru_RU |
dc.title |
Using OpenCV for real-time image recognition through augmented reality devices |
ru_RU |
dc.type |
Articles in international journals and collections |
ru_RU |
|