Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Alexander V. Fisunov"'
Publikováno v:
Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8be4f5c65fe7be3f2a99497d470f9873
https://doi.org/10.2991/msbda-19.2019.63
https://doi.org/10.2991/msbda-19.2019.63
Publikováno v:
E3S Web of Conferences, Vol 104, p 02008 (2019)
This paper presents a wearable eye tracker that tracks points of interests of user at videostream showed at smartphone screen. The system consists head-mounted case for smartphone, point of interest detection algorithm, the software developed for thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eadf7c45f515766ec07629de1dd71f48
https://doi.org/10.1051/e3sconf/201910402008
https://doi.org/10.1051/e3sconf/201910402008
Publikováno v:
E3S Web of Conferences, Vol 104, p 02009 (2019)
This paper is devoted to improving the accuracy of human pulse measurement by RGB video stream analysis. For this purpose, a study was conducted the influence of the size, location and stability of the region of interest on contactless human pulse me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06169dd1ba0371b42aa2c1705f7d7fb
https://doi.org/10.1051/e3sconf/201910402009
https://doi.org/10.1051/e3sconf/201910402009
Publikováno v:
Theoretical & Applied Science. 7:44-47
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c3e166dd047773883113f2b3a5c64e7
https://doi.org/10.15863/tas.2013.11.7.6
https://doi.org/10.15863/tas.2013.11.7.6
Publikováno v:
MATEC Web of Conferences, Vol 226, p 05003 (2018)
This paper proposes the method for real time determining three-dimensional coordinates of human body parts from RGB-D stream. Proposed method represent a combined solution in which deep learning and depth map analysis are used.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::822b21635f543ce6e0469a68fe2e8bab
https://doi.org/10.1051/matecconf/201822605003
https://doi.org/10.1051/matecconf/201822605003
Autor:
Karen Egiazarian, Vladimir I. Marchuk, Alexander V. Fisunov, Svetlana Tokareva, Viacheslav V. Voronin
Publikováno v:
Image Processing: Algorithms and Systems
RGB-D sensors are relatively inexpensive and are commercially available off-the-shelf. However, owing to their low complexity, there are several artifacts that one encounters in the depth map like holes, mis-alignment between the depth and color imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54d9086126b690348035332132c4166c
https://doi.org/10.1117/12.2076506
https://doi.org/10.1117/12.2076506