Zobrazeno 1 - 10
of 4 244
pro vyhledávání: '"M. Jäger"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-2-2024, Pp 159-166 (2024)
In the fields of photogrammetry, computer vision and computer graphics, the task of neural 3D scene reconstruction has led to the exploration of various techniques. Among these, 3D Gaussian Splatting stands out for its explicit representation of scen
Externí odkaz:
https://doaj.org/article/b01fbbef86764f24971727db5207aeaf
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W3-2023, Pp 71-78 (2023)
Generating geometric 3D reconstructions from Neural Radiance Fields (NeRFs) is of great interest. However, accurate and complete reconstructions based on the density values are challenging. The network output depends on input data, NeRF network confi
Externí odkaz:
https://doaj.org/article/660a171cd6e449d0a3436c58dd9ca1c0
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W3-2023, Pp 153-159 (2023)
Neural Radiance Fields (NeRFs) use a set of camera poses with associated images to represent a scene through a position-dependent density and radiance at given spatial location. Generating a geometric representation in form of a point cloud is gained
Externí odkaz:
https://doaj.org/article/f468d6271b394dc8871c5bbbe4580e37
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W1-2023, Pp 207-213 (2023)
Neural Radiance Fields (NeRFs) are trained using a set of camera poses and associated images as input to estimate density and color values for each position. The position-dependent density learning is of particular interest for photogrammetry, enabli
Externí odkaz:
https://doaj.org/article/c7f424d61e2a458b92bd99716ac7cd38
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W1-2023, Pp 167-174 (2023)
This work represents a large step into modern ways of fast 3D reconstruction based on RGB camera images. Utilizing a Microsoft HoloLens 2 as a multisensor platform that includes an RGB camera and an inertial measurement unit for SLAM-based camera-pos
Externí odkaz:
https://doaj.org/article/4e44e20175e9437192ddc51c9b62df69
Publikováno v:
European Psychiatry, Vol 63 (2020)
Abstract Background In line with previous findings, in a recent randomized controlled trial (RCT), we found that home treatment (HT) for acute mental health care can reduce (substitute) hospital use among severely ill patients in crises. This study
Externí odkaz:
https://doaj.org/article/29d9d43f1e844577a041d654f2037207
Publikováno v:
Travmatologiâ i Ortopediâ Rossii, Vol 24, Iss 2, Pp 29-40 (2018)
A previous retrieval study analyzed the backside wear of short-term implanted liners against in vitro tested liners of similar life in service and showed comparable results among both groups, with no significant backside wear due to micro-motion.The
Externí odkaz:
https://doaj.org/article/fa263a3ab9a1494ba55d98ee2864255a
Publikováno v:
Reumatismo, Vol 65, Iss 2, Pp 82-85 (2013)
Pachydermoperiostosis as the primary form of hypertrophic osteoarthropathy is a rare hereditary disorder with a number of characteristic findings, e.g. periosteal hypertrophy, digital clubbing and pachydermia. Further typical symptoms include arthrit
Externí odkaz:
https://doaj.org/article/592b3d8143534165b6c27a1a0da5582f
Artificial intelligence has become so much a part of everyday life that it is now hard to imagine a world without it. This book presents papers from the 12th Scandinavian Conference on Artificial Intelligence (SCAI), held in Aalborg, Denmark in Novem
Publikováno v:
Die Orthopädie. 52:332-346