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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Design and calibration of a multi-view TOF sensor fusion system
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Young Min Kim, Stanford University, USA
Derek Chan, Stanford University, USA
Christian Theobalt, Stanford University, USA
Sebastian Thrun, Stanford University, USA
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.
Citation:
Young Min Kim, Derek Chan, Christian Theobalt, Sebastian Thrun, "Design and calibration of a multi-view TOF sensor fusion system," cvprw, pp.1-7, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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