Pseudo-real Image Sequence Generator for Optical Flow Computations

  • Vladimír Ulman
  • Jan Hubený
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4522)


The availability of ground-truth flow field is crucial for quantitative evaluation of any optical flow computation method. The fidelity of test data is also important when artificially generated. Therefore, we generated an artificial flow field together with an artificial image sequence based on real-world sample image. The presented framework benefits of a two-layered approach in which user-selected foreground was locally moved and inserted into an artificially generated background. The background is visually similar to input sample image while the foreground is extracted from original and so is the same. The framework is capable of generating 2D and 3D image sequences of arbitrary length. Several examples of the version tuned to simulate real fluorescent microscope images are presented. We also provide a brief discussion.


Root Mean Square Image Sequence Sample Image Foreground Object Mask Image 
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 Berlin Heidelberg 2007

Authors and Affiliations

  • Vladimír Ulman
    • 1
  • Jan Hubený
    • 1
  1. 1.Centre for Biomedical Image Analysis, Masaryk University, Brno 621 00Czech Republic

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