|Title||OmniKinect: Real-Time Dense Volumetric Data Acquisition and Applications|
|Publication Type||Conference Paper|
|Year of Publication||2012|
|Authors||Kainz, Bernhard, Stefan Hauswiesner, Gerhard Reitmayr, Markus Steinberger, Raphael Grasset, Lukas Gruber, Eduardo Veas, Denis Kalkofen, Hartmut Seichter, and Dieter Schmalstieg|
|Conference Location||Vancover, Canada|
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.
OmniKinect: Real-Time Dense Volumetric Data Acquisition and Applications