Template matching based on quadtree Zernike decomposition

نویسندگان

  • Alessandro Neri
  • Marco Carli
  • Veronica Palma
  • Luca Costantini
چکیده

In this paper a novel technique for rotation independent template matching via Quadtree Zernike decomposition is presented. Both the template and the target image are decomposed by using a complex polynomial basis. The template is analyzed in block-based manner by using a quad tree decomposition. This allows the system to better identify the object features. Searching for a complex pattern into a large multimedia database is based on a sequential procedure that verifies whether the candidate image contains each square of the ranked quadtree list and refining, step-by-step, the location and orientation estimate.

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تاریخ انتشار 2009