Samara University Repository
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This is an open electronic archive created to preserve and disseminate the scientific results of our university. The works of researchers, faculty members, and students are available to everyone for academic and research purposes.
The repository contains dissertations, research articles, educational and methodological materials, monographs, and regulatory documents. The collections cover a wide range of fields: from aerospace technologies, engine engineering, and computer science to history, linguistics, mathematics, and ecology. The archive brings together the scientific heritage of the university, including materials prepared during the period of Samara State Aerospace University and Samara State University.
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| Title: | Формирование видеопанорамы по информации от разноспектральных камер |
| Other Titles: | Real-time Multispectral Video Panorama Construction |
| Authors: | Кудинов, И.А. Павлов, О.В. Холопов, И.С. Храмов, М.Ю. |
| Issue Date: | 2018 |
| Publisher: | Новая техника |
| Citation: | Кудинов И.А. Формирование видеопанорамы по информации от разноспектральных камер / И.А. Кудинов, О.В. Павлов, И.С. Холопов, М.Ю. Храмов // Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С.568-575 |
| Abstract: | Рассмотрен алгоритм формирования видеопанорамы по информации от разноспектральных камер распределенной оптико-электронной системы. Показано, распараллеливание вычислений с применением технологии CUDA позволяет реализовать функции улучшения видения (модифицированный алгоритм Multiscale Retinex) и комплексирования информации от разноспектральных сенсоров (в том числе и в псевдоцветах) для двух независимо управляемых окон интереса размером 1024х768 пикселей с частотой не менее 30 Гц. An algorithm for the video panorama construction from distributed multispectral cameras data is described. It is shown that operations of vision enhancement (modified Multiscale Retinex algorithm) and multispectral image fusion are implemented for two independently chosen regions of interest with a frame size of 1024x768 pixels and 30 fps using CUDA technology. |
| Description: | Основная статья |
| URI: | http://repo.ssau.ru/jspui/handle/123456789/13972 |
| Appears in Collections: | Информационные технологии и нанотехнологии |
| File | Description | Size | Format | |
|---|---|---|---|---|
| paper_85.pdf | Основная статья | 554.89 kB | Adobe PDF | View/Open |
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