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2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (2011)
Basel, Switzerland
Oct. 26, 2011 to Oct. 29, 2011
ISBN: 978-1-4577-2183-0
pp: 127-136
Richard A. Newcombe , Imperial College London
Shahram Izadi , Microsoft Research
Otmar Hilliges , Microsoft Research
David Molyneaux , Microsoft Research Lancaster University
David Kim , Microsoft Research Newcastle University
Andrew J. Davison , Imperial College London
Pushmeet Kohi , Microsoft Research
Jamie Shotton , Microsoft Research
Steve Hodges , Microsoft Research Newcastle University
Andrew Fitzgibbon , Microsoft Research
We present a system for accurate real-time mapping of complex and arbitrary indoor scenes in variable lighting conditions, using only a moving low-cost depth camera and commodity graphics hardware. We fuse all of the depth data streamed from a Kinect sensor into a single global implicit surface model of the observed scene in real-time. The current sensor pose is simultaneously obtained by tracking the live depth frame relative to the global model using a coarse-to-fine iterative closest point (ICP) algorithm, which uses all of the observed depth data available. We demonstrate the advantages of tracking against the growing full surface model compared with frame-to-frame tracking, obtaining tracking and mapping results in constant time within room sized scenes with limited drift and high accuracy. We also show both qualitative and quantitative results relating to various aspects of our tracking and mapping system. Modelling of natural scenes, in real-time with only commodity sensor and GPU hardware, promises an exciting step forward in augmented reality (AR), in particular, it allows dense surfaces to be reconstructed in real-time, with a level of detail and robustness beyond any solution yet presented using passive computer vision.
Surface reconstruction, Cameras, Image reconstruction, Real time systems, Simultaneous localization and mapping, Iterative closest point algorithm, Three dimensional displays,AR, Real-Time, Dense Reconstruction, Tracking, GPU, SLAM, Depth Cameras, Volumetric Representation
Richard A. Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J. Davison, Pushmeet Kohi, Jamie Shotton, Steve Hodges, Andrew Fitzgibbon, "KinectFusion: Real-time dense surface mapping and tracking", 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), vol. 00, no. , pp. 127-136, 2011, doi:10.1109/ISMAR.2011.6092378
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