Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Anastasios L. Kesidis"'
Publikováno v:
Sensors, Vol 23, Iss 19, p 8135 (2023)
Modeling the perception and evaluation of landscapes from the human perspective is a desirable goal for several scientific domains and applications. Human vision is the dominant sense, and human eyes are the sensors for apperceiving the environmental
Externí odkaz:
https://doaj.org/article/f82b5f20fd5b47bf8a4e932bcf09a7fb
Publikováno v:
Multimodal Technologies and Interaction, Vol 6, Iss 12, p 111 (2022)
Patch-based approaches in image processing are often preferable to working with the entire image. They provide an alternative representation of the image as a set of partial local sub-images (patches) which is a vital preprocessing step in many image
Externí odkaz:
https://doaj.org/article/d9face40c9944182a4a3eb428b14eeaf
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 11, p 552 (2022)
It is common sense that immediate response and action are among the most important terms when it comes to public safety, and emergency response systems (ERS) are technology components strictly tied to this purpose. While the use of ERSs is increasing
Externí odkaz:
https://doaj.org/article/b48ec157a6d242579f0af26da27d4f0c
Publikováno v:
Multimodal Technologies and Interaction, Vol 4, Iss 4, p 83 (2020)
The present study introduces a new MATLAB toolbox, called MatMouse, suitable for the performance of experimental studies based on mouse movements tracking and analysis. MatMouse supports the implementation of task-based visual search experiments. The
Externí odkaz:
https://doaj.org/article/04bd07def01f47d9a4e0d3119487c001
Publikováno v:
Abstracts of the ICA. 5:1-2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20e8cadb37f64f413ed0492f3d9ba3b8
https://doi.org/10.5194/ica-abs-5-56-2022
https://doi.org/10.5194/ica-abs-5-56-2022
Autor:
Anastasios L. Kesidis, Basilis Gatos
Publikováno v:
Visual Computing for Cultural Heritage ISBN: 9783030371906
Visual Computing for Cultural Heritage
Visual Computing for Cultural Heritage
Keyword spotting is an alternative methodology for document indexing based on spotting words directly on images without the use of a character recognition system. In this paper, an overview of recent techniques and available databases for keyword spo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9a1b30e3a9e1ccddba2ae3909672fa6
https://doi.org/10.1007/978-3-030-37191-3_5
https://doi.org/10.1007/978-3-030-37191-3_5
Publikováno v:
Engineering Applications of Neural Networks ISBN: 9783030202569
EANN
EANN
Building reconstruction from aerial photographs and other multi-source urban spatial data is a task endeavored using a plethora of automated and semi-automated methods ranging from point processes, classic image processing and laser scanning. Here, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fd68be28ee96f3c2fd98f6031bea8d4
https://doi.org/10.1007/978-3-030-20257-6_28
https://doi.org/10.1007/978-3-030-20257-6_28
Publikováno v:
European Journal of Physics. 42:015304
In several undergraduate courses related to laser physics and optics it is crucial that students should be able to understand basic concepts of laser beam propagation. In addition, experimental activities focusing on capability building in photogramm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d24fec27bd24e454eee6f7ac77f43d15
https://doi.org/10.1088/1361-6404/abba01
https://doi.org/10.1088/1361-6404/abba01
Autor:
Ilias Theodorakopoulos, George Economou, Dimitrios Tsourounis, Anastasios L. Kesidis, Elias N. Zois
In this work, a feature extraction method for offline signature verification is presented that harnesses the power of sparse representation in order to deliver state-of-the-art verification performance in several signature datasets like CEDAR, MCYT-7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6445e28ab2b12ef4d01bb0da11860e8
Publikováno v:
Pattern Analysis and Applications. 19:963-976
In this paper, a two-step segmentation-free word spotting method for historical printed documents is presented. The first step involves a minimum distance matching between a query keyword image and a document page image using keypoint correspondences
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53edba6bb08bbc644f12380b3374db8c
https://doi.org/10.1007/s10044-015-0476-0
https://doi.org/10.1007/s10044-015-0476-0