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Detection of the Vanishing Line of the Ocean Surface from Pairs of Scale-Invariant Keypoints

  • Sergiy Fefilatyev
  • Matthew Shreve
  • Dmitry Goldgof
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8156)

Abstract

In this paper, we propose an algorithm for estimating the vanishing line of a stochastically-textured plane in a single image taken by an uncalibrated perspective camera. As an example of such type of texture we take images of ocean surface for which existing methods of vanishing line detection from texture perform poorly. The proposed algorithm relies on finding pairs of similarly looking scale-invariant keypoints that are different in scale. The location of the vanishing line is estimated directly from those pairs of points by finding the vanishing line that represents the consensus of individually found vanishing points. We demonstrate the potential of the proposed method on a number of real images of ocean surface by estimating the horizon line using SIFT keypoints.

Keywords

Ocean Surface Perspective Projection Average Absolute Error Sift Descriptor Texture Plane 
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 2013

Authors and Affiliations

  • Sergiy Fefilatyev
    • 1
  • Matthew Shreve
    • 1
  • Dmitry Goldgof
    • 1
  1. 1.University of South FloridaTampaUSA

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