[Zurück]


Beiträge in Tagungsbänden:

A. Mossel, C. Kößler:
"Large Scale Cut Plane: An Occlusion Management Technique for Immersive Dense 3D Reconstructions";
in: "Proceedings of ACM Symposium on Virtual Reality Software and Technology (VRST)", ACM Symposium on Virtual Reality Software and Technology (VRST), 2016, ISBN: 978-1-4503-4491-3, S. 201 - 210.



Kurzfassung englisch:
Dense 3D reconstructions of real-world environments become wide
spread and are foreseen to act as data base to solve real world problems,
such as remote inspections. Therefore not only scene viewing
is required but also the ability to interact with the environment, such
as selection of a user-defined part of the reconstruction for later
usage. However, inter-object occlusion is inherent to large dense
3D reconstructions, due to scene geometry or reconstruction artifacts
that might result in object containment. Since prior art lacks
approaches for occlusion management in environments that consist
of one or multiple (large) continuous surfaces, we propose the
novel technique Large Scale Cut Plane that enables segmentation
and subsequent selection of visible, partly or fully occluded patches
within a large 3D reconstruction, even at far distance. We combine
Large Scale Cut Plane with an immersive virtual reality setup to
foster 3D scene understanding and natural user interactions. We
furthermore present results from a user study where we investigate
performance and usability of our proposed technique compared to
a baseline technique. Our results indicate Large Scale Cut Plane to
be superior in terms of speed and precision, while we found need
of improvement of the user interface. The presented investigations
has to the authors´ best knowledge not been subject to previous research.

Schlagworte:
Immersive Virtual Reality, Dense 3D Surface Reconstruction, Occlusion Management, 3D Selection


"Offizielle" elektronische Version der Publikation (entsprechend ihrem Digital Object Identifier - DOI)
http://dx.doi.org/10.1145/2993369.2993384

Elektronische Version der Publikation:
http://publik.tuwien.ac.at/files/PubDat_251283.pdf