OmniKinect: Real-Time Dense Volumetric Data Acquisition and Applications

TitleOmniKinect: Real-Time Dense Volumetric Data Acquisition and Applications
Publication TypeConference Paper
Year of Publication2012
AuthorsKainz, Bernhard, Stefan Hauswiesner, Gerhard Reitmayr, Markus Steinberger, Raphael Grasset, Lukas Gruber, Eduardo Veas, Denis Kalkofen, Hartmut Seichter, and Dieter Schmalstieg
Conference NameVRST
Date Published12/2012
PublisherACM
Conference LocationVancover, Canada
Abstract

Real-time three-dimensional acquisition of real-world scenes has many important applications in computer graphics, com- puter vision and human-computer interaction. Inexpensive depth sensors such as the Microsoft Kinect allow to lever- age 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 phys- ical setup, a calibration procedure and an extension to the KinectFusion algorithm, which allows to produce high qual- ity volumetric reconstructions from multiple Kinects whilst overcoming systematic errors in the depth measurements. We also report on enhancing image based visual hull ren- dering by depth measurements, and compare the results to KinectFusion. Our system provides practical insight into achievable spatial and radial range and into bandwidth re- quirements for depth data acquisition. Finally, we present a number of practical applications of our system.