Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Emmanouil Z. Psarakis"'
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
Publikováno v:
Journal of Real-Time Image Processing. 19:475-486
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76e509bc6a882ac101fd1dd420587c79
https://doi.org/10.1007/s11554-022-01200-8
https://doi.org/10.1007/s11554-022-01200-8
Publikováno v:
CVPR Workshops
The eye center localization is a challenging problem faced by many computer vision applications. The challenges typically stem from the scene variability, such as, the wide range of shapes, the lighting conditions, the view angles and the occlusions.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2edb5b3321a76fdf9f36cd1d89232f7e
https://doi.org/10.1109/cvprw53098.2021.00350
https://doi.org/10.1109/cvprw53098.2021.00350
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:2266-2272
Repeated patterns (such as windows, balconies, and doors) are prominent and significant features in urban scenes. Therefore, detection of these repeated patterns becomes very important for city scene analysis. This paper attacks the problem of repeat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92495454a5dc9cc4ec758baadced9542
https://doi.org/10.1109/tpami.2018.2858795
https://doi.org/10.1109/tpami.2018.2858795
Publikováno v:
Journal of Geophysical Research: Solid Earth. 125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e26a9bec2ec46766aee5eeaf5f778496
https://doi.org/10.1029/2019jb018768
https://doi.org/10.1029/2019jb018768
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:
Combustion Science and Technology. 191:1123-1138
The need for measuring laminar flame speeds for various fuels and blends is crucial for determining flame stabilization characteristics and design parameters for practical burner configurat...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd9fedb2894a6fdbf31b76bc55441796
https://doi.org/10.1080/00102202.2018.1512105
https://doi.org/10.1080/00102202.2018.1512105
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:
Signal Processing: Image Communication. 52:138-150
In this paper the two and three dimensional of a single shape partitioning problem is revisited by means of an iterative, non supervised, very fast and effective algorithm. The notion of visibility context is used as the shape signature, which actual
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::056563e8886e0dfadef02268f46403a3
https://doi.org/10.1016/j.image.2016.12.012
https://doi.org/10.1016/j.image.2016.12.012
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