Cargando…
RailEnV-PASMVS: A perfectly accurate, synthetic, path-traced dataset featuring a virtual railway environment for multi-view stereopsis training and reconstruction applications
A Perfectly Accurate, Synthetic dataset featuring a virtual railway EnVironment for Multi-View Stereopsis (RailEnV-PASMVS) is presented, consisting of 40 scenes and 79,800 renderings together with ground truth depth maps, extrinsic and intrinsic camera parameters, pseudo-geolocation metadata and bin...
Autores principales: | Broekman, André, Gräbe, Petrus Johannes |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479407/ https://www.ncbi.nlm.nih.gov/pubmed/34621935 http://dx.doi.org/10.1016/j.dib.2021.107411 |
Ejemplares similares
-
PASMVS: A perfectly accurate, synthetic, path-traced dataset featuring specular material properties for multi-view stereopsis training and reconstruction applications
por: Broekman, André, et al.
Publicado: (2020) -
HRSBallast: A high-resolution dataset featuring scanned angular, semi-angular and rounded railway ballast
por: Broekman, André, et al.
Publicado: (2020) -
The Influence of Wheel/Rail Contact Conditions on the Microstructure and Hardness of Railway Wheels
por: Molyneux-Berry, Paul, et al.
Publicado: (2014) -
Study on the Interaction between Wheel Polygon and Rail Corrugation in High-Speed Railways
por: Xu, Xiaotian, et al.
Publicado: (2022) -
Stereopsis without correspondence
por: Read, Jenny C. A.
Publicado: (2023)