The Fibonacci search for cornerpoint detection of two-dimensional images

  • Authors:
  • Jiann-Der Lee;Chin-Hsing Chen;Jau-Yien Lee;Li-Ming Chien;York-Yih Sun

  • Affiliations:
  • Department of Electrical Engineering National Cheng Kung University, Tainan, Taiwan 701, R.O.C.;Department of Electrical Engineering National Cheng Kung University, Tainan, Taiwan 701, R.O.C.;Department of Electrical Engineering National Cheng Kung University, Tainan, Taiwan 701, R.O.C.;Department of Electrical Engineering National Cheng Kung University, Tainan, Taiwan 701, R.O.C.;Department of Electrical Engineering National Cheng Kung University, Tainan, Taiwan 701, R.O.C.

  • Venue:
  • Mathematical and Computer Modelling: An International Journal
  • Year:
  • 1992

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Abstract

A new algorithm for cornerpoint detection using the Fibonacci search method is derived. The algorithm is an optimization-based unconstrained line search method which can be used to approximate a 2-D non-polygon object shape to any desired accuracy. An adjustment procedure including corner merging and false corner detection is also included. The computation time of our proposed approach is only 10% of that required by other cornerpoint detection methods such as the merging method, the cubic B-spline method and the conventional splitting method.