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This paper proposes an original method for extracting the centerline of 3D objects given only partial mesh scans as input data. Its principle relies on the construction of a normal vector accumulation map build by casting digital rays from input vertices. This map is then pruned according to a confidence voting rule: confidence in a point increases if this point has maximal votes along a ray. Points...
In this paper, we present a new three-dimensional (3D) tangent estimator by extending the two-dimensional (2D) λ-maximal segment tangent (λ-MST) estimator, which has very good theoretical and practical behaviors. We show that our proposed estimator keeps the same time complexity, accuracy and experimental asymptotic behaviors as the original 2D one.
A theory for the multiscale analysis of digital shapes would be very interesting for the pattern recognition community, giving a digital equivalent of the continuous scale-space theory. We focus here on providing analytical formulae of the multiresolution of Digital Straight Segments (DSS), which is a fundamental tool for describing digital shape contours.
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