Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Judit Szűcs"'
Publikováno v:
Sensors, Vol 23, Iss 6, p 3138 (2023)
Depth perception as well as egocentric distance estimation can be trained in virtual spaces, although incorrect estimates can occur in these environments. To understand this phenomenon, a virtual environment with 11 changeable factors was created. Eg
Externí odkaz:
https://doaj.org/article/ee7a3201e46443d28f1d76d77e6b38bf
Autor:
Tibor Guzsvinecz, Judit Szűcs
Publikováno v:
Education Sciences, Vol 11, Iss 10, p 576 (2021)
Face-to-face education has changed to blended or distance teaching due to the COVID-19 pandemic. Since education took a digital format, it can be investigated when course materials are accessed relative to online exams: are they opened before exams o
Externí odkaz:
https://doaj.org/article/245565ee4de84e95aa533ce7e8f4bfbe
Publikováno v:
Electronics; Volume 12; Issue 10; Pages: 2253
The perception of distances is crucial in both the real world and virtual environments. However, distances can be incorrectly estimated in the latter one, and they can be affected by technological and human factors. We created a virtual environment t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60224fb00e9b9c841ab7ff7727ba48c8
Autor:
Judit Szűcs, Péter Balázs
Publikováno v:
The Visual Computer. 38:4221-4234
In this paper, we propose a novel vector-form image descriptor that measures the so-called Q-concavity of a binary image under all possible positions of a sliding window of fixed size. In this way, a local Q-concavity histogram (LQH) is created. We p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e037535937a6444b3031c8448f17a5e1
https://doi.org/10.1007/s00371-021-02290-4
https://doi.org/10.1007/s00371-021-02290-4
Publikováno v:
2022 13th IEEE International Conference on Cognitive Infocommunications (CogInfoCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b445dc31889a03a2646a10ce9703dc5
https://doi.org/10.1109/coginfocom55841.2022.10081928
https://doi.org/10.1109/coginfocom55841.2022.10081928
Publikováno v:
Review on Agriculture and Rural Development. 6:50-56
The object of the trial was to study the effect of some lactic acid bacteria strains on the chemical composition, energy- and metabolisable protein (MP) content, microbiological characteristics and in-silo weight and dry matter losses of whole crop m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3fbf3cfb65faca9a7ecd07523655bcc
https://doi.org/10.14232/rard.2017.1-2.50-56
https://doi.org/10.14232/rard.2017.1-2.50-56
Autor:
Péter Balázs, Judit Szűcs
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030510015
IWCIA
IWCIA
In this paper we propose a novel local shape descriptor based on Q-convexity histograms. We investigate three different variants: (1) focusing only on the background points, (2) examining all the points and (3) omitting the zero bin. We study the pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74fcd75cf982ce396dd60e03ccba970b
https://doi.org/10.1007/978-3-030-51002-2_18
https://doi.org/10.1007/978-3-030-51002-2_18
Autor:
Péter Balázs, Judit Szűcs
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783030298876
CAIP (1)
CAIP (1)
In this paper, we propose a novel approach for binary image reconstruction from few projections. The binary reconstruction problem can be highly underdetermined and one way to reduce the search space of feasible solutions is to exploit some prior kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::800321c703b18d8eb82fa6dda02a20fe
https://doi.org/10.1007/978-3-030-29888-3_12
https://doi.org/10.1007/978-3-030-29888-3_12
Publikováno v:
Discrete Geometry for Computer Imagery ISBN: 9783030140847
DGCI
DGCI
In (Brunetti et al.: Extension of a one-dimensional convexity measure to two dimensions, LNCS 10256 (2017) 105–116) a spatial convexity descriptor is designed which provides a quantitative representation of an object by means of relative positions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f0c74bedb84202e25e5ddca8cb9651a
http://hdl.handle.net/11365/1086957
http://hdl.handle.net/11365/1086957
Autor:
Péter Balázs, Judit Szűcs
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030272012
ICIAR (1)
ICIAR (1)
We consider the problem of reconstructing binary images from their horizontal and vertical projections and the given number of strips in each row and column. Knowing that the problem is NP-hard, in one of our recent papers (Szűcs, J., Balazs, P.: Va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e71db4157cbbbe699adff7790136baa6
https://doi.org/10.1007/978-3-030-27202-9_15
https://doi.org/10.1007/978-3-030-27202-9_15