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Model Acquisition by Registration of Multiple Acoustic Range Views

  • Andrea Fusiello
  • Umberto Castellani
  • Luca Ronchetti
  • Vittorio Murino
Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2351)

Abstract

This paper deals with the three-dimensional reconstruction of an underwater environment from multiple acoustic range views acquired by a remotely operated vehicle. The problem is made challenging by the very noisy nature of the data, the low resolution and the narrow field of view of the sensor. Our contribution is twofold: first, we introduce a statistically sound thresholding (the X84 rejection rule) to improve ICP robustness against noise and non-overlapping data. Second, we propose a new global registration technique to distribute registration errors evenly across all views. Our approach does not use data points after the first pairwise registration, for it works only on the transformations. Therefore, it is fast and occupies only a small memory. Experimental results suggest that ICP with X84 performs better than Zhang’s ICP, and that the global registration technique is effective in reducing and equalizing the error.

Keywords

Range Image Registration Error Median Absolute Deviation Rigid Transformation Iterate Close Point 
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 2002

Authors and Affiliations

  • Andrea Fusiello
    • 1
  • Umberto Castellani
    • 1
  • Luca Ronchetti
    • 1
  • Vittorio Murino
    • 1
  1. 1.Dipartimento di InformaticaUniversità di VeronaVeronaItaly

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