Abstract
AbstractIn computer graphics, shape recognition is widely solved problem. The shape functions, shape distribution and Minkowski norm are the standard methods for the determination of similarity measure. In this paper, the shape functions D2, D3 and new C1 are applied to five triangular meshes of a half-sphere, a cylinder and a plane obtained from ball-bar, ring, and gauge block after trimming. In the using of optical scanners the calibration is necessary and it is done using calibration artefacts with known dimensions (according to which the calibration is executed). So, it is useful to find the algorithm, where the known dimensions are not necessary for calibration. Therefore, the aim of this paper (and the first step for finding the algorithm) is to define whether each shape function is competent to measure the similarity and whether the new shape function C1 is as good as the standard functions. To determine it, Measurement System Analysis (MSA) was used.KeywordsShape functionShape distributionShape matching methodMeasurement system analysis (MSA)Shape recognitionTriangular mesh
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