Zobrazeno 1 - 6
of 6
pro vyhledávání: '"David Mandl"'
Autor:
Tobias Langlotz, David Mandl, Peter M. Roth, Shohei Mori, Peter Mohr, Christoph Ebner, Denis Kalkofen, Stefanie Zollmann
Publikováno v:
ISMAR
Coherent rendering is important for generating plausible Mixed Reality presentations of virtual objects within a user’s real-world environment. Besides photo-realistic rendering and correct lighting, visual coherence requires simulating the imaging
Autor:
David Mandl, Aaron Rothman
Publikováno v:
Places Journal.
Autor:
David Mandler
Publikováno v:
Hungarian Cultural Studies, Vol 11, Iss 0, Pp 196-201 (2018)
Turán, Tamás and Carsten Wilke, eds. 2016. Modern Jewish Scholarship in Hungary – the "Science of Judaism" Between East and West. Berlin and Boston: De Gruyter Oldenbourg. 414 pages.
Externí odkaz:
https://doaj.org/article/7ef2185e7e4249178d74fdf3b845e881
Autor:
David Mandler
Publikováno v:
Hungarian Cultural Studies, Vol 7, Iss 0, Pp 400-404 (2015)
Nopcsa, Baron Franz. 2014. Traveler, Scholar, Politician, Adventurer – A Transylvanian Baron at the Birth of Albanian Independence (ed. and trans. from German Robert Elsie). Budapest: Central European University Press. 227 pp. Reviewed by David M
Externí odkaz:
https://doaj.org/article/fbccb3b60490440ba96e852fd1494516
Autor:
David Mandler
Publikováno v:
Hungarian Cultural Studies, Vol 4, Iss 0, Pp 287-290 (2011)
Ágai, Adolf. Az örök zsidó. Régi naplók, életképek (1862-1906) [The Eternal Jew: OldDiaries and Life Sketches (1862-1906)]. Budapest-Jerusalem: Múlt és Jövő Kiadó,2010. Reviewed by David Mandler, Stuyvesant High School, New York City.
Externí odkaz:
https://doaj.org/article/f588d4e810b846fab1226da85ba82865
Autor:
David Mandl, Peter Mohr, Dieter Schmalstieg, Pascal Fua, Denis Kalkofen, Peter M. Roth, Kwang Moo Yi, Vincent Lepetit
Publikováno v:
ISMAR
2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
ISMAR, 2017, Nantes, France. ⟨10.1109/ISMAR.2017.25⟩
2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
ISMAR, 2017, Nantes, France. ⟨10.1109/ISMAR.2017.25⟩
This paper presents the first photometric registration pipeline for Mixed Reality based on high quality illumination estimation by convolutional neural network (CNN) methods. For easy adaptation and deployment of the system, we train the CNN using pu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85492aaaa21b9585f14538cddb6df459
https://infoscience.epfl.ch/record/229470
https://infoscience.epfl.ch/record/229470