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2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2008)
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-7
Derek Chan , Stanford University, USA
Young Min Kim , Stanford University, USA
Sebastian Thrun , Stanford University, USA
Christian Theobalt , Stanford University, USA
ABSTRACT
This paper describes the design and calibration of a system that enables simultaneous recording of dynamic scenes with multiple high-resolution video and low-resolution Swissranger time-of-flight (TOF) depth cameras. The system shall serve as a testbed for the development of new algorithms for high-quality multi-view dynamic scene reconstruction and 3D video. The paper also provides a detailed analysis of random and systematic depth camera noise which is important for reliable fusion of video and depth data. Finally, the paper describes how to compensate systematic depth errors and calibrate all dynamic depth and video data into a common frame.
INDEX TERMS
CITATION
Derek Chan, Young Min Kim, Sebastian Thrun, Christian Theobalt, "Design and calibration of a multi-view TOF sensor fusion system", 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 00, no. , pp. 1-7, 2008, doi:10.1109/CVPRW.2008.4563160
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