IEEE Transactions on Pattern Analysis and Machine Intelligence · 1991 · 628 citations · 9 references
ComputingComputer ScienceComputational GeometryComputer VisionGeometryConvex GeometryMetric GeometryObject RecognitionShape AnalysisShape MetricsShape RepresentationImage Similarity MeasurementShapeShape MatchingShape RecognitionShape Similarity JudgmentsSimilarity MeasuresSimilarity MetricsSimilarity Reasoning
A method for comparing polygons that is a metric, invariant under translation, rotation, and change of scale, reasonably easy to compute, and intuitive is presented. The method is based on the L/sub 2/ distance between the turning functions of the two polygons. It works for both convex and nonconvex polygons and runs in time O(mn log mn), where m is the number of vertices in one polygon and n is the number of vertices in the other. Some examples showing that the method produces answers that are intuitively reasonable are presented.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Haim J. Wolfson · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1990 · 225 citations
T. J. Willmore · Journal of the London Mathematical Society · 1969 · 138 citations