Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Renato Pajarola"'
Publikováno v:
Computational Visual Media, Vol 4, Iss 3, Pp 209-221 (2018)
Abstract Typically, relief generation from an input 3D scene is limited to either bas-relief or high-relief modeling. This paper presents a novel unified scheme for synthesizing reliefs guided by the geometric texture richness of 3D scenes; it can ge
Externí odkaz:
https://doaj.org/article/537430f657304b8da36264de956be75d
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 3, p 123 (2018)
The objective of interactive geographic maps is to provide geographic information to a large audience in a captivating and intuitive way. Storytelling helps to create exciting experiences and to explain complex or otherwise hidden relationships of ge
Externí odkaz:
https://doaj.org/article/065ab34d8dd14334b2d253dd32078143
Publikováno v:
Computer Graphics Forum. 40:275-286
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8255a218ba93316292f72712a53b2d6d
https://doi.org/10.1111/cgf.14306
https://doi.org/10.1111/cgf.14306
Autor:
Renato Pajarola, M. Eduard Gröller, Juan Ruiz, Rodrigo Pelorosso, Alexandra Diehl, Stefan Bruckner
Publikováno v:
Computer Graphics Forum. 40:299-310
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3771d196e47def348004b0f70c24047
https://doi.org/10.1111/cgf.14308
https://doi.org/10.1111/cgf.14308
Publikováno v:
Computer Graphics Forum. 40:375-388
Recent years have seen a proliferation of new digital products for the efficient management of indoor spaces, with important applications like emergency management, virtual property showcasing and interior design. These products rely on accurate 3D m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2557ba3a9a81ccaf8d147f25c0ac6ac6
https://doi.org/10.1111/cgf.142640
https://doi.org/10.1111/cgf.142640
Publikováno v:
The Visual Computer. 36:2407-2418
Semantic segmentation of 3D point clouds is a crucial task in scene understanding and is also fundamental to indoor scene applications such as indoor navigation, mobile robotics, augmented reality. Recently, deep learning frameworks have been success
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2b45cd5a722e37c2cfce536fe1cabef
https://doi.org/10.1007/s00371-020-01892-8
https://doi.org/10.1007/s00371-020-01892-8
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 26:1292-1307
Developing complex, real world graphics applications which leverage multiple GPUs and computers for interactive 3D rendering tasks is a complex task. It requires expertise in distributed systems and parallel rendering in addition to the application d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00df27ba8685a0f070f441af31f1d3c0
https://doi.org/10.1109/tvcg.2018.2870822
https://doi.org/10.1109/tvcg.2018.2870822
Leveraging Different Visual Designs for Communication of Severe Weather Events and their Uncertainty
Autor:
Ian T. Ruginski, Renato Pajarola, Alexandra Diehl, Ananya Pandya, Sara Irina Fabrikant, Nathalie Popovic
Effective communication of potential weather hazards and its uncertainty to the general public is key to prevent and mitigate negative outcomes from weather hazards. The general public needs effective tools at hand that can allow them to make the bes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::542d9bfe69aff93ec571f03f690e7a13
https://doi.org/10.5194/ems2021-266
https://doi.org/10.5194/ems2021-266
Publikováno v:
Reliability Engineering & System Safety. 183:311-322
Sobol indices are a widespread quantitative measure for variance-based global sensitivity analysis, but computing and utilizing them remains challenging for high-dimensional systems. We propose the tensor train decomposition (TT) as a unified framewo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e8115fec30090279c3a6bdfabe0af00d
https://doi.org/10.1016/j.ress.2018.11.007
https://doi.org/10.1016/j.ress.2018.11.007