Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Stefan Gumhold"'
Publikováno v:
Sensors, Vol 24, Iss 4, p 1213 (2024)
Electrolysis stands as a pivotal method for environmentally sustainable hydrogen production. However, the formation of gas bubbles during the electrolysis process poses significant challenges by impeding the electrochemical reactions, diminishing cel
Externí odkaz:
https://doaj.org/article/3c73b3ef946d4876952a75d344ba919f
Autor:
Nishant Kumar, Stefan Gumhold
Publikováno v:
Computers, Vol 9, Iss 4, p 98 (2020)
Image fusion helps in merging two or more images to construct a more informative single fused image. Recently, unsupervised learning-based convolutional neural networks (CNN) have been used for different types of image-fusion tasks such as medical im
Externí odkaz:
https://doaj.org/article/bfff21e955d54c57bbaeec113473c836
Autor:
Stefan Hesse, Stefan Gumhold
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 10, Iss 1, Pp 48-50 (2012)
In this paper, we present an approach to create and integrate interactive 3D learning objects of high quality for higher education into a learning management system. The use of these resources allows to visualize topics, such as electro-technical and
Externí odkaz:
https://doaj.org/article/3aaa38d618564347a72570918f6d9a0b
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 29:1288-1298
Stylized tubes are an established visualization primitive for line data as encountered in many scientific fields, ranging from characteristic lines in flow fields, fiber tracks reconstructed from diffusion tensor imaging, to trajectories of moving ob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b596e1fd220b0c8b90afdff1b73136b
https://doi.org/10.1109/tvcg.2022.3209400
https://doi.org/10.1109/tvcg.2022.3209400
Autor:
Britta Pester, Benjamin Russig, Oliver Winke, Carolin Ligges, Raimund Dachselt, Stefan Gumhold
Publikováno v:
Computers & Graphics. 106:88-97
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e564f4b24d230e47cfd57c4e9a69a08
https://doi.org/10.1016/j.cag.2022.05.024
https://doi.org/10.1016/j.cag.2022.05.024
Autor:
Weizhou Luo, Zhongyuan Yu, Rufat Rzayev, Marc Satkowski, Stefan Gumhold, Matthew McGinity, Raimund Dachselt
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10313bb3779fb05dd12461458e044646
https://doi.org/10.1145/3544548.3580715
https://doi.org/10.1145/3544548.3580715
Publikováno v:
2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e100125521deaa6d9a31d3c0cce0ff94
https://doi.org/10.1109/vrw58643.2023.00257
https://doi.org/10.1109/vrw58643.2023.00257
Autor:
Tobias Hänel, Nishant Kumar, Dmitrij Schlesinger, Mengze Li, Erdem Ünal, Abouzar Eslami, Stefan Gumhold
Publikováno v:
Computer Vision – ACCV 2022 ISBN: 9783031263507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fc216c2a18eec8319234e00938afe3b
https://doi.org/10.1007/978-3-031-26351-4_10
https://doi.org/10.1007/978-3-031-26351-4_10
Autor:
David Gross, Stefan Gumhold
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 27:614-624
3D Lines are a widespread rendering primitive for the visualization of data from research fields like fluid dynamics or fiber tractography. Global illumination effects and transparent rendering improve the perception of three-dimensional features and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8362f1bc1b8b5cbccf6fdd033a4309a5
https://doi.org/10.1109/tvcg.2020.3028954
https://doi.org/10.1109/tvcg.2020.3028954
Publikováno v:
2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12718b4ed3a44304eb75eb15b09a4082
https://doi.org/10.1109/ccnc49033.2022.9700686
https://doi.org/10.1109/ccnc49033.2022.9700686