A sparse structure for fast circle detection.
Pattern Recognition(2020)
摘要
•A novel formulation: The formulation tries to cover each circle instance by a pre-determined number of maximally compatible edge points.•A time-saving decomposition: We decompose the circle detection into radius-dependent and -independent part.•A sparse structure: We explore the statistical sparsity behind the radius-independent part and design a sparse structure for its calculation.•A 3D voting scheme: Calculation of the radius-independent part is then implemented via a 3D voting that can be updated in a very fast manner.•A comprehensive dataset: We construct a dataset composed of 5 categories that present considerable diversities.
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关键词
Circle detection,Hough transform,Voting,Sparse structure,Oriented chamfer distance
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