A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Real-Time Consensus-Based Scene Reconstruction Using Commodity Graphics Hardware
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
3D Live: Real Time Captured Content for Mixed Reality
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Comprehensible Visualization for Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
Robust and unobtrusive marker tracking on mobile phones
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
Combining multiple depth cameras and projectors for interactions on, above and between surfaces
UIST '10 Proceedings of the 23nd annual ACM symposium on User interface software and technology
A hybrid approach for computing visual hulls of complex objects
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
KinectFusion: Real-time dense surface mapping and tracking
ISMAR '11 Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality
ISMAR '11 Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality
Fast cost-volume filtering for visual correspondence and beyond
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Real-time human pose recognition in parts from single depth images
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Scanning 3D Full Human Bodies Using Kinects
IEEE Transactions on Visualization and Computer Graphics
Shake'n'sense: reducing interference for overlapping structured light depth cameras
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Reducing interference between multiple structured light depth sensors using motion
VR '12 Proceedings of the 2012 IEEE Virtual Reality
Visualization of off-surface 3D viewpoint locations in spatial augmented reality
Proceedings of the 1st symposium on Spatial user interaction
RemoteFusion: real time depth camera fusion for remote collaboration on physical tasks
Proceedings of the 12th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry
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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.