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.
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