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Non-Iterative Vision-Based Interpolation of 3D Laser Scans

  • Henrik Andreasson
  • Rudolph Triebel
  • Achim Lilienthal
Part of the Studies in Computational Intelligence book series (SCI, volume 76)

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 highresolution 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.

Keywords

Voronoi Diagram Depth Image Voronoi Cell Laser Range Natural Neighbour 
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-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Henrik Andreasson
    • 1
  • Rudolph Triebel
    • 2
  • Achim Lilienthal
    • 1
  1. 1.AASS, Dept. of TechnologyÖrebro UniversitySweden
  2. 2.Autonomous Systems LabETH ZürichSwitzerland

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