Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Krolla, Bernd"'
Publikováno v:
Optics Express 18, 27748-27757 (2010)
The development of innovative terahertz (THz) imaging systems has recently moved in the focus of scientific efforts due to the ability to screen substances through textiles or plastics. The invention of THz imaging systems with high spatial resolutio
Externí odkaz:
http://arxiv.org/abs/1012.1746
We present a gradient-index (GRIN) metamaterial based on an array of annular slots. The structure allows a large variation of the effective refractive index under normal-to-plane incidence and thus enables the construction of GRIN devices consisting
Externí odkaz:
http://arxiv.org/abs/1002.1025
Autor:
Krolla, Bernd, Stricker, Didier
Ongoing research within the field of computer vision yielded a wide range of image based 3D reconstruction approaches. Starting years ago with low resolution RGB images as input, we face today a wide and fast growing range of available imaging device
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______8936::4d09f9a93d0d9827a2724d2467871395
http://hdl.handle.net/11025/29436
http://hdl.handle.net/11025/29436
Within the computer vision community, the reconstruction of rigid 3D objects is a well known task in current research. Many existing algorithms provide a dense 3D reconstruction of a rigid object from sequences of 2D images. Commonly, an iterative re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______8936::c4c5b037d99b56cdc703d78be63f2c33
http://hdl.handle.net/11025/26378
http://hdl.handle.net/11025/26378
In this work, we discuss and evaluate the reliability of first order uncertainty propagation results in context of spherical Structure from Motion, concluding that they are not valid without restrictions, but depend on the choice of the objective fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______8936::495f034005092b034b8ec13fee5eb6be
http://hdl.handle.net/11025/26410
http://hdl.handle.net/11025/26410
Pose uncertainty estimation of calibrated cameras is a common task in the field of computer vision and uses location uncertainties of image features. For spherical cameras, those uncertainties cannot be optimally described using conventional latitude
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______8936::6c47c1ed3c5e2250d724888048521937
http://hdl.handle.net/11025/10609
http://hdl.handle.net/11025/10609
Publikováno v:
Computer Vision - ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 & 12, 2014, Proceedings, Part II; 2015, p600-610, 11p
Autor:
Verikas, Antanas, Vuksanovic, Branislav, Radeva, Petia, Zhou, Jianhong, Couto Gava, Christiano, Krolla, Bernd, Stricker, Didier
Publikováno v:
Proceedings of SPIE; February 2015, Vol. 9445 Issue: 1 p94451W-94451W-7, 850067p