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Shape Rectification of 3D Data Obtained by a Moving Range Sensor by using Image Sequences

  • Atsuhiko Banno
  • Katsushi Ikeuchi

For a large object, scanning from the air is one of the most efficient methods of obtaining 3D data. We have been developing a novel 3D measurement system, the Flying Laser Range Sensor (FLRS), in which a range sensor is suspended beneath a balloon. The obtained data, however, have some distortion due to movement during the scanning process. Then we propose a novel method to rectify the shape data obtained by a moving range sensor. The method rectifies them by using image sequences. We are conducting the Digital Bayon Project, in which our algorithm is actually applied for range data processing and the results show the effectiveness of our methods. Our proposed method is applicable not only to our FLRS, but also to a general moving range sensor.

Keywords

Interest Point Factorization Method Camera Motion Range Sensor Scanner Unit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Atsuhiko Banno
  • Katsushi Ikeuchi
    • 1
  1. 1.Institute of Industrial ScienceThe University of TokyoMeguro-kuJapan

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