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Modeling Distance Nonlinearity in ToF Cameras and Correction Based on Integration Time Offsets

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 7042)


Time of Flight (ToF) cameras capture the depth images based on a new sensor technology allowing them to process the whole 3D scenario at once. These cameras deliver the intensity as well as the amplitude information. Due to difference in travel time of the rays reaching the sensor array, the captured distance information is affected by non linearities. In this paper, the authors propose three models (the monostatic, bistatic and optimized) for correcting the distance non linearity. The thermal characteristic of the sensor is studied in real time and analysis for integration time offsets for different reflectivity boards are carried out. The correction results are demonstrated for different reflectivity targets based on our models and analyzed integration offsets.


  • Photonic-Mixer-Device
  • calibration
  • integration time
  • ToF camera
  • bistatic modeling
  • monostatic modeling


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© 2011 Springer-Verlag Berlin Heidelberg

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Uriarte, C., Scholz-Reiter, B., Ramanandan, S.K., Kraus, D. (2011). Modeling Distance Nonlinearity in ToF Cameras and Correction Based on Integration Time Offsets. In: San Martin, C., Kim, SW. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2011. Lecture Notes in Computer Science, vol 7042. Springer, Berlin, Heidelberg.

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25084-2

  • Online ISBN: 978-3-642-25085-9

  • eBook Packages: Computer ScienceComputer Science (R0)