Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Johannes Schauer"'
Autor:
Matthias Templ, Johannes Schauer
Publikováno v:
Austrian Journal of Statistics, Vol 38, Iss 4 (2016)
Christian F. G. SCHENDERA (2010). Clusteranalyse mit SPSS. Mit Faktorenanalyse. Oldenbourg Verlag, München, 435 Seiten, ISBN 978-3-486-58691-6. (e49.80) Karlheinz ZWERENZ (2009). Statistik: Einführung in die computergestützte Datenanalyse (4. üb
Externí odkaz:
https://doaj.org/article/31d669f303514879a85946b4a1a1e927
Publikováno v:
International Journal of Surgery Case Reports
Highlights • Therapy for high grade burns: immediate debridement, coverage with suitable dressings. • Post-burn scar contracture-surgery: at least one year after the burn injury. • Mobilization of Mesenchymal Stem Cells in infants is a autologo
Publikováno v:
ICARCV
We present an algorithm for explicit change detection on 3D point cloud data from a mobile mapping scenario, namely the KITTI dataset. Our method is able to partition a 3D point cloud into static and dynamic points using ray traversal of a 3D voxel g
Publikováno v:
QoMEX
Modern photogrammetric methods as well as laser measurement systems make it easy to collect large 3D point clouds that sample objects or environments. As the recorded point clouds can be used to render computer-generated images and models, they are o
Autor:
Johannes Schauer, Andreas Nüchter
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 143:15-38
For the purpose of visualization and further post-processing of 3D point cloud data, it is often desirable to remove moving objects from a given data set. Common examples for these moving objects are pedestrians, bicycles and motor vehicles in outdoo
Autor:
Johannes Schauer, Andreas Nüchter
Publikováno v:
IEEE Robotics and Automation Letters. 3:1679-1686
Even though it would be desirable for most postprocessing purposes to obtain a point cloud without moving objects in it, it is often impractical or downright impossible to free a scene from all nonstatic clutter. Outdoor environments contain pedestri
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2/W3, Pp 543-549 (2017)
This paper shows how to use the result of Google's SLAM solution, called Cartographer, to bootstrap our continuous-time SLAM algorithm. The presented approach optimizes the consistency of the global point cloud, and thus improves on Google’s result
Publikováno v:
IFAC-PapersOnLine. 49:54-59
We present two fundamentally different approaches to detect collisions between two point clouds and compare their performance on multiple datasets. A collision between points happens if they are closer to each other than a given threshold radius. One
Publikováno v:
Latest Developments in Reality-Based 3D Surveying and Modelling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e085224aa0bc568dfd3e0a1318d97c4a
https://doi.org/10.3390/books978-3-03842-685-1-3
https://doi.org/10.3390/books978-3-03842-685-1-3
Autor:
Andreas Nüchter, Johannes Schauer
Publikováno v:
ICCA
We present an efficient method to partition a point cloud gathered through kinematic laser scanning into static and dynamic points. The presented algorithm utilizes a voxel grid data structure and uses a ray intersection test to mark voxels as dynami