Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Chirvonaya, A."'
In this paper, we study the problem of feature points description in the context of document analysis and template matching. Our study shows that the specific training data is required for the task especially if we are to train a lightweight neural n
Externí odkaz:
http://arxiv.org/abs/2109.04134
Publikováno v:
Computer Optics 2020; 44(5): 737-745
In this paper, we suggest a new neural network architecture for vanishing point detection in images. The key element is the use of the direct and transposed Fast Hough Transforms separated by convolutional layer blocks with standard activation functi
Externí odkaz:
http://arxiv.org/abs/2002.01176
Publikováno v:
Компьютерная оптика, Vol 46, Iss 3, Pp 429-435 (2022)
In this paper, we study the problem of feature points description in the context of document analysis and template matching. Our study shows that specific training data is required for the task especially if we are to train a lightweight neural netwo
Externí odkaz:
https://doaj.org/article/db02ed2ba4b14c8ca8cffdde0939c1e6
Publikováno v:
Компьютерная оптика, Vol 44, Iss 5, Pp 737-745 (2020)
In this paper, we suggest a new neural network architecture for vanishing point detection in images. The key element is the use of the direct and transposed fast Hough transforms separated by convolutional layer blocks with standard activation functi
Externí odkaz:
https://doaj.org/article/ab65f2d00d124aeca62cdd3cdb366a5d
Autor:
Vladimir L. Arlazarov, Anastasiya N. Chirvonaya, D. Matveev, Dmitry P. Nikolaev, Alexander Sheshkus
Publikováno v:
Компьютерная оптика, Vol 44, Iss 5, Pp 737-745 (2020)
In this paper, we suggest a new neural network architecture for vanishing point detection in images. The key element is the use of the direct and transposed Fast Hough Transforms separated by convolutional layer blocks with standard activation functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10d72f9aa3c778bf87de31f6320ebaf8
https://doi.org/10.18287/2412-6179-co-676
https://doi.org/10.18287/2412-6179-co-676
Publikováno v:
ICMV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6882f0aed562a7231b6a0d4d351a56a6
https://doi.org/10.1117/12.2559449
https://doi.org/10.1117/12.2559449
Publikováno v:
ICMV
In this paper, we propose a new method to detect monospaced font in text line images. Although many authors address more complex problems of text recognition or font recognition, this problem is still challenging when dealing with camera-captured ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::64ee7a45afb053ef464e9c571ffeb45e
https://doi.org/10.1117/12.2559373
https://doi.org/10.1117/12.2559373
Autor:
Osten, Wolfgang, Nikolaev, Dmitry P., Chernyshova, Yulia S., Chirvonaya, Anastasiya N., Sheshkus, Alexander V.
Publikováno v:
Proceedings of SPIE; January 2020, Vol. 11433 Issue: 1 p114333F-114333F-8, 1029006p
Autor:
Osten, Wolfgang, Nikolaev, Dmitry P., Chirvonaya, Anastasiya N., Sheshkus, Alexander V., Arlazarov, Vladimir L.
Publikováno v:
Proceedings of SPIE; 5/10/2020, Vol. 11433, p1143317-1143317, 1p