DocumentCode
127278
Title
Poster: Immersive point cloud virtual environments
Author
Bruder, Gerd ; Steinicke, Frank ; Nuchter, Andreas
Author_Institution
Dept. of Comput. Sci., Univ. of Wurzburg, Wurzburg, Germany
fYear
2014
fDate
29-30 March 2014
Firstpage
161
Lastpage
162
Abstract
Today´s three-dimensional (3D) virtual environments (VEs) are usually based on textured polygonal 3D models, which represent the appearance and geometry of the virtual world. However, some application domains require other graphical paradigms, which are currently not adequately addressed by 3D user interfaces. We introduce a novel approach for a technical human-robot telepresence setup that allows a human observer to explore a VE, which is a 3D reconstruction of the real world based on point clouds. Such point cloud virtual environments (PCVEs) represent the external environment, and are usually acquired by 3D scanners. We present an application scenario, in which a mobile robot captures 3D scans of a terrestrial environment, which are automatically registered to a coherent PCVE. This virtual 3D reconstruction is displayed in an immersive virtual environment (IVE) in which a user can explore the PCVE. We explain and describe the technical setup, which opens up new vistas of presenting a VE as points rather than a polygonal representation.
Keywords
cloud computing; human-robot interaction; mobile robots; optical scanners; robot vision; solid modelling; virtual reality; 3D real world reconstruction; 3D scanners; 3D user interfaces; PCVE; graphical paradigms; immersive point cloud virtual environments; immersive virtual environment; mobile robot; technical human-robot telepresence setup; textured polygonal 3D models; three-dimensional virtual environments; virtual 3D reconstruction; Legged locomotion; Rendering (computer graphics); Three-dimensional displays; User interfaces; Virtual environments;
fLanguage
English
Publisher
ieee
Conference_Titel
3D User Interfaces (3DUI), 2014 IEEE Symposium on
Conference_Location
Minneapolis, MN
Type
conf
DOI
10.1109/3DUI.2014.6798870
Filename
6798870
Link To Document