Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Nefeli Lamprinou"'
Publikováno v:
Sensors, Vol 20, Iss 8, p 2325 (2020)
Compared with pairwise registration, the groupwise one is capable of handling a large-scale population of images simultaneously in an unbiased way. In this work we improve upon the state-of-the-art pixel-level, Least-Squares (LS)-based groupwise imag
Externí odkaz:
https://doaj.org/article/590eb1e235ce4ea885b5d70eb359941e
Autor:
Pavlos Konstantinidis, Nefeli Lamprinou, Georgios Tsiourlis, Nikos A. Aspragathos, Panteleimon Xofis, Emmanouil Ζ. Psarakis, Nikitas Xanthopoulos, Vassilis C. Moulianitis, Konstantinos Souflas, Eleftherios Dogkas, Georgios Paterakis, Panagiotis Koutmos, Evangelos Sartinas, Georgios Thanellas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dda672fc3747ad40259c1e5a264df473
https://doi.org/10.5772/intechopen.86904
https://doi.org/10.5772/intechopen.86904
Publikováno v:
VISIGRAPP (4: VISAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63d7bdf2c2ba77ff69d30e95c83f6b28
https://doi.org/10.5220/0009180701200127
https://doi.org/10.5220/0009180701200127
Publikováno v:
Pattern Recognition Letters. 95:58-64
The aim of this work is to improve upon the state-of-the-art pixel-level, Least-Squares (LS) based congealing methods. Specifically, we propose a new iterative algorithm, which outperforms in terms of speed, convergence rate and robustness the state-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5bedd94c1b8d55dc67dd246a1aeb6d4
https://doi.org/10.1016/j.patrec.2017.06.001
https://doi.org/10.1016/j.patrec.2017.06.001
Publikováno v:
BIBE
The multi-contrast MRI volume registration problem constitutes one of the basic steps in many computer vision applications. Since different types of MRI images have totally different intensity distributions, the use of well known area based image ali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc0199513345a656da193ca0f82d22d8
https://doi.org/10.1109/bibe.2019.00187
https://doi.org/10.1109/bibe.2019.00187
Autor:
Stefanos Michos, Dimitrios Katsaros, Konstantinos Souflas, Eleftherios Dogkas, Nikos A. Aspragathos, Anastasios Kanavos, Georgios Paterakis, Nikitas Xanthopoulos, Panagiotis Koutmos, Nefeli Lamprinou, Georgios Thanellas, Evangelos Sartinas, Emmanouil Z. Psarakis, Vassilis C. Moulianitis
Publikováno v:
2019 29th Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE).
This paper presents the preliminary results of the THEASIS system which is under development for early detection of wildfires in Greece. Firstly, the proposed system in terms of conceptual design, the early fire detection methodology as well as the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5ccaf0092f06861789092fd5f2764a7
https://doi.org/10.1109/eaeeie46886.2019.9000445
https://doi.org/10.1109/eaeeie46886.2019.9000445
Publikováno v:
Advances in Service and Industrial Robotics ISBN: 9783030002312
In this paper a new UAV video stitching method which is robust even in the presence of forest fire is proposed. The proposed method exploits in a complementary way both optical and thermal cameras. In particular, the visibility of the optical cameras
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b16ed9422658ce9ad7dd4987f3af1d1c
https://doi.org/10.1007/978-3-030-00232-9_17
https://doi.org/10.1007/978-3-030-00232-9_17
Publikováno v:
VISIGRAPP (4: VISAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::341eb28d69da118c130a0389c4d6303b
https://doi.org/10.5220/0006654202060212
https://doi.org/10.5220/0006654202060212
Publikováno v:
BIBE
The performance of most of the image alignment algorithms degrades in the presence of untextured and homogeneous image regions. Such large regions, and thus inappropriate for using them for alignment, appeared in most of the biological objects. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cfd3352b48686facc43f862e4fbf042
https://doi.org/10.1109/bibe.2017.00-50
https://doi.org/10.1109/bibe.2017.00-50
Publikováno v:
VISIGRAPP (4: VISAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdb6633ac3e212f6615ca1db09a88ba1
https://doi.org/10.5220/0005788202790284
https://doi.org/10.5220/0005788202790284