Visual object detection by specifying the scale and rotation transformations

  • Authors:

  • Yasuomi D. Sato;Jenia Jitsev;Christoph von der Malsburg

  • Affiliations:

  • Department of Brain Science and Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan and Frankfurt Institute for Advanced Studies ...;Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe University, Frankfurt am Main, Germany;Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe University, Frankfurt am Main, Germany

  • Venue:
  • ICONIP'10 Proceedings of the 17th international conference on Neural information processing: models and applications - Volume Part II
  • Year:
  • 2010

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Abstract

We here propose a simple but highly potential algorithm to detect a model object's position on an input image by determining the initially unknown transformational states of the model object, in particular, size and 2D-rotation. In this algorithm, a single feature is extracted around or at the center of the input image through 2D-Gabor wavelet transformation, in order to find not only the most likely relative size and rotation to the model object, but also the most appropriate positional region on the input image for detecting the correct relative transformational states. We also show the reliable function on the face images of different persons, or of different appearance in the same person.