Stable Wave Detector of Blobs in Images

  • Jan Dupač
  • Václav Hlaváč
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4174)


Stable Wave Detector (SWD) is a new multiscale landmark detector in the intensity image. SWD belongs to a group of interest-point-like operators aiming at detecting repeatedly distinguished entities regardless of their semantics. The speed and the robustness of landmark detection and the precision of landmark localization are main issues. The target landmarks are blobs which correspond to local maxima/minima of intensity (positive and negative peaks). The detector is based on the phase of the first harmonic wave in the moving window. The localization is a result of an integral transformation rather than a derivative. Thus, the blob detector is inherently robust to noise. The SWD provides subpixel localization of blobs together with the estimate of its precision, the measure of the strength/significance and the estimate of the size/scale for each blob.


Salient Region Stereo Match Visual Odometry Ideal Peak Interest Point Detector 
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 2006

Authors and Affiliations

  • Jan Dupač
    • 1
  • Václav Hlaváč
    • 2
  1. 1.RS Dynamics s.r.o.Prague 4Czech Republic
  2. 2.Faculty of Electrical Engineering, Department for Cybernetics, Center for Machine PerceptionCzech Technical UniversityPrague 2Czech Republic

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