Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Rudolf Prettenthaler"'
Autor:
Christian Mostegel, Alexander Tscharf, Rudolf Prettenthaler, Markus Rumpler, Friedrich Fraundorfer, Gerhard Mayer, Horst Bischof, Shreyansh Daftry, Christof Hoppe
Use of planar fiducial markers for automatic accurate camera calibration.Online user feedback and quality visualization for image acquisition.Integration of ground control points and GPS measurements in the bundle adjustment.Accurate and easy-to-use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ef1aa2536a9f314b53bc0be900afc56
https://elib.dlr.de/104768/
https://elib.dlr.de/104768/
Publikováno v:
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
TU Graz
CVPR
TU Graz
CVPR
In this paper we present a scalable approach for robustly computing a 3D surface mesh from multi-scale multi-view stereo point clouds that can handle extreme jumps of point density (in our experiments three orders of magnitude). The backbone of our a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c30749e068a037f5ab2dfcf15159cd9e
Autor:
Horst Bischof, Shreyansh Daftry, Rudolf Prettenthaler, Markus Rumpler, Christof Hoppe, Alexander Tscharf, Gerhard Mayer
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol II-3, Pp 135-142 (2014)
Photogrammetric computer vision systems have been well established in many scientific and commercial fields during the last decades. Recent developments in image-based 3D reconstruction systems in conjunction with the availability of affordable high
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c897e784f581b92b82846c2767b460a8
https://doi.org/10.5194/isprsannals-ii-3-135-2014
https://doi.org/10.5194/isprsannals-ii-3-135-2014
Autor:
Thomas Holzmann, Rudolf Prettenthaler, Jesus Pestana Puerta, Daniel Muschick, Christian Mostegel, Friedrich Fraundorfer, Horst Bischof, Gottfried Graber
Publikováno v:
TU Graz
An important focus of current research in the field of Micro Aerial Vehicles (MAVs) is to increase the safety of their operation in general unstructured environments. Especially indoors, where GPS cannot be used for localization, reliable algorithms
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31cd7902313167de8e500ae1405bd8ec