Henrik Andreasson, Rudolph Triebel and Achim J. Lilienthal
Non-iterative Vision-based Interpolation of 3D Laser Scans
Autonomous Robots and Agents (Studies in Computational Intelligence), Volume 76, Springer, Germany, 14 August 2007, pp. 83-90.
Abstract: 3D range sensors, particularly 3D laser range scanners, enjoy a rising popularity and are used nowadays for many different applications. The resolution 3D range sensors provide in the image plane is typically much lower than the resolution of a modern colour camera. In this chapter we focus on methods to derive a high-resolution depth image from a low-resolution 3D range sensor and a colour image. The main idea is to use colour similarity as an indication of depth similarity, based on the observation that depth discontinuities in the scene often correspond to colour or brightness changes in the camera image. We present five interpolation methods and compare them with an independently proposed method based on Markov random fields. The proposed algorithms are non-iterative and include a parameter-free vision-based interpolation method. In contrast to previous work, we present ground truth evaluation with real world data and analyse both indoor and outdoor data.
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Bibtex:
@INBOOK{Andreasson_etal:Springer:2007,
  AUTHOR = {Andreasson, Henrik and Triebel, Rudolph and Lilienthal, Achim~J.},
  TITLE = {Non-iterative Vision-based Interpolation of 3D Laser Scans},
  CHAPTER = {Autonomous Robots and Agents},
  SERIES = {Studies in Computational Intelligence},
  PUBLISHER = {Springer, Germany}
  EDITOR = {Mukhopadhyay, Subhas Chandra and Gupta, Gourab Sen}
  YEAR = {2007},
  VOLUME = {76},
  PAGES = {83--90},
  MONTH = {August 14},
  ISBN = {978-3-540-73423-9}
  ISSN = {1860-949X (Print) 1860-9503 (Online)}
}