OmniKinect: real-time dense volumetric data acquisition and applications

Bernhard Kainz, Stefan Hauswiesner, Gerhard Reitmayr, Markus Steinberger, Raphael Grasset, Lukas Gruber, Eduardo Veas, Denis Kalkofen, Hartmut Seichter, Dieter Schmalstieg

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

55 Citations (Scopus)


Real-time three-dimensional acquisition of real-world scenes has many important applications in computer graphics, computer vision and human-computer interaction. Inexpensive depth sensors such as the Microsoft Kinect allow to leverage the development of such applications. However, this technology is still relatively recent, and no detailed studies on its scalability to dense and view-independent acquisition have been reported. This paper addresses the question of what can be done with a larger number of Kinects used simultaneously. We describe an interference-reducing physical setup, a calibration procedure and an extension to the KinectFusion algorithm, which allows to produce high quality volumetric reconstructions from multiple Kinects whilst overcoming systematic errors in the depth measurements. We also report on enhancing image based visual hull rendering by depth measurements, and compare the results to KinectFusion. Our system provides practical insight into achievable spatial and radial range and into bandwidth requirements for depth data acquisition. Finally, we present a number of practical applications of our system.

Original languageEnglish
Title of host publicationVRST 2012 - Proceedings of the 18th ACM Symposium on Virtual Reality Software and Technology
PublisherAssociation for Computing Machinery
Number of pages8
ISBN (Print)9781450314695
Publication statusPublished - Dec 2012
Externally publishedYes
Event18th ACM Symposium on Virtual Reality Software and Technology, VRST 2012 - Toronto, ON, Canada
Duration: 10 Dec 201212 Dec 2012

Publication series

NameProceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST


Conference18th ACM Symposium on Virtual Reality Software and Technology, VRST 2012
CityToronto, ON


  • 4D reconstruction
  • Depth sensors
  • Microsoft Kinect


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