@inproceedings{e9aadff747d14643a49d3e49b486b9a3,
title = "Detection of surface creases in range data",
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.",
author = "Alexander Belyaev and Elena Anoshkina",
year = "2005",
doi = "10.1007/11537908\_4",
language = "English",
isbn = "9783540282259",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "50--61",
booktitle = "Mathematics of Surfaces XI",
note = "11th IMA International Conference 2005 ; Conference date: 05-09-2005 Through 07-09-2005",
}