Detection of Surface Creases in Range Data

Belyaev, Alexander; Anoshkina, Elena; Martin, Ralph; Bez, Helmut; Sabin, Malcolm

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Detection of Surface Creases in Range Data

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Belyaev, Alexander
Computer Graphics, MPI for Informatics, Max Planck Society;

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Citation

Belyaev, A., & Anoshkina, E. (2005). Detection of Surface Creases in Range Data. In Mathematics of surfaces XI: 11th IMA International Conference (pp. 50-61). Berlin, Germany: Springer.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-2635-6

Abstract

We propose a fully automatic and view-independent computational procedure for detecting salient curvature extrema in range data. Our method consists of two major steps: (1) smoothing given range data by applying a nonlinear diffusion of normals with automatic thresholding; (2) using a Canny-like non-maximum suppression and hysteresis thresholding operations for detecting crease pixels. A delicate analysis of curvature extrema properties allows us to make those Canny-like image processing operations orientation-independent. The detected patterns of creases can be considered as ``shape fingerprints''. The proposed method can be potentially used for shape recognition, quality evaluation, and matching purposes.