Using Top-Points as Interest Points for Image Matching

نویسندگان

  • Bram Platel
  • Evguenia Balmachnova
  • Luc Florack
  • Frans Kanters
  • Bart M. ter Haar Romeny
چکیده

We consider the use of so-called top-points for object retrieval. These points are based on scale-space and catastrophe theory, and are invariant under gray value scaling and offset as well as scale-Euclidean transformations. The differential properties and noise characteristics of these points are mathematically well understood. It is possible to retrieve the exact location of a top-point from any coarse estimation through a closed-form vector equation which only depends on local derivatives in the estimated point. All these properties make top-points highly suitable as anchor points for invariant matching schemes. In a set of examples we show the excellent performance of top-points in an object retrieval task.

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تاریخ انتشار 2005