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Autor:
Hutchison, David, Kanade, Takeo, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Rueda, Luis, Mery, Domingo, Kittler, Josef, Marimon, David, Ebrahimi, Touradj
Publikováno v:
Progress in Pattern Recognition, Image Analysis & Applications (978-3-540-76724-4); 2008, p221-230, 10p
Publikováno v:
Proceedings of SPIE; Nov2007, Issue 1, p650808-650808-8, 8p
Publikováno v:
Proceedings of SPIE; Nov2007, Issue 1, p65080O-65080O-9, 9p
For augmented reality applications, accurate estimation of the camera pose is required. An existing video-based marker tracking system developed at the ITS presents some limitations when the marker is completely or partially occluded. The objective o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::b0e0b455470c3b17e6d560307514fd18
https://infoscience.epfl.ch/record/112252
https://infoscience.epfl.ch/record/112252
Autor:
Marimon, David, Ebrahimi, Touradj
This paper presents a video-based camera tracker that combines marker-based and feature point-based cues in a particle filter framework. The framework relies on their complementary performance. Marker-based trackers can robustly recover camera positi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______185::9ce243e995b1ce552a8af9d076dbf7de
https://infoscience.epfl.ch/record/98727
https://infoscience.epfl.ch/record/98727
Publikováno v:
2014 IEEE International Symposium on Mixed & Augmented Reality (ISMAR); 2014, p323-324, 2p