| Developer(s) | Capturing Reality |
|---|---|
| Initial release | 2016 |
| Operating system | Microsoft Windows |
| Available in | English |
| Type | 3D computer graphics software |
| License | Proprietary |
| Website | www |
RealityCapture (RC) is photogrammetry software for creating 3D models out of unordered photographs (terrestrial and/or aerial) or laser scans without seams. The most common fields of its current use are cultural heritage (art, archaeology, and architecture), full body scanning, gaming, surveying, mapping, visual effects (VFX) and virtual reality (VR) in general.
It features include image registration (alignment), automatic calibration, calculating a polygon mesh, colouring, texturing, parallel projections, georeferencing, DSM, coordinate system conversion, simplification, scaling, filtration, smoothing, measurement, inspection, and various exports and imports.[1] The program can be run under the command line. There is also a software developer kit available.[2] RealityCapture is able to mix camera images and laser scans. It is designed to make low demands on hardware. It works linearly, which means if its inputs are doubled, the processing time will be doubled as well. The software is currently available only in English language.
Technical requirements
RealityCapture runs on 64-bit machines with at least 8GB of RAM, 64bit Microsoft Windows 7 / 8 / 8.1 / 10, using a graphics card with an nVidia CUDA 2.0+ GPU and at least 1 GB of RAM. Users can run the application and register images without the nVidia card but will not be able to create a textured mesh. Users must install the Media Feature Pack for Windows, and on Windows Server users must install Media Foundation features.
Each RC software license is limited to 32 CPU cores and 3 GPU cards. For higher configurations, more licenses must be purchased equivalently. A computer with 4 CPU cores, 16 GB RAM and 386 CUDA cores is recommended.
Meshing, coloring and texturing are completely out-of-core in RC, which is intended to avoid RAM performance loss during these processes.
History
The public beta version of RealityCapture was released by Slovak company Capturing Reality (founded in 2013), based in Bratislava, on 2 February 2016.[3] However, there had also been a closed beta running for almost a year.[4][5][6][7]
Staff of Capturing Reality have published in several computer vision and graphics journals and conference papers, and have had hundreds of citations.[8][9][10]
Capturing Reality was acquired by Epic Games in March 2021; Epic plans to integrate RealityCapture into the Unreal Engine with the acquisition. The acquisition does not affect Capturing Reality's existing business and allowed them to reduce their pricing model for RealityCapture.[11]
References
- ^ "RealityCapture". capturingreality.com.
- ^ http://developer.download.nvidia.com/assets/gameworks/downloads/regular/GDC17/gdc-photogrammetry-pipelines-2017-03-01.pdf[bare URL PDF]
- ^ "Capturing Reality releases RealityCapture - CG Channel". cgchannel.com. Retrieved 1 May 2017.
- ^ 3DVF. "Photogrammétrie : le modèle économique de RealityCapture se précise - 3DVF.com". 3dvf.com (in French). Retrieved 1 May 2017.
{{cite web}}: CS1 maint: numeric names: authors list (link) - ^ "RealityCapture - Disponible gratuitement jusqu'au 31 Janvier". 3d-station.fr (in French). 30 November 2015. Retrieved 1 May 2017.
- ^ "RealityCapture: nyílt bétában a szlovák szomszédok szoftvere". meshmag.hu (in Slovak). 29 December 2015. Retrieved 1 May 2017.
- ^ Fred (20 January 2016). "RealityCapture". helicomicro.com. Retrieved 1 May 2017.
- ^ "Martin Bujnak - Google Scholar Citations". google.sk. Retrieved 1 May 2017.
- ^ "Michal Jancosek - Google Scholar Citations". google.sk. Retrieved 1 May 2017.
- ^ "Capturing Reality – spoločnosť budúcnosti zo Slovenska, ktorá ponúka softvér na modelovanie 3D objektov". startitup.sk (in Slovak). 3 August 2016. Retrieved 1 May 2017.
- ^ Kerr, Chris (March 9, 2021). "Epic Games acquires photogrammetry software developer Capturing Reality". Gamasutra. Retrieved March 9, 2021.
External links
This page was last edited on 24 January 2023, at 20:49