A novel 2D shape matching algorithm based on B-spline modeling
Yue Wang, Eam Khwang Teoh · 2005
This paper presents a novel algorithm for 2D planar curve recognition based on B-spline modeling. It combines the advantages of the B-spline which are continuous curve representation and affine invariant, and the robustness of the CSS (curvature scale space) matching with respect to noise and affine transformation. It solves the problem of the nonuniqueness of the B-spline in curve matching. A new algorithm, which contains degree increase and reduction, is proposed for smoothing the B-spline and constructing the CSS image. The proposed algorithm has been tested and good performance has been obtained.