Name
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. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11537908_4 | IMA Conference on the Mathematics of Surfaces |
Keywords | Field | DocType |
automatic thresholding,curvature extrema property,canny-like non-maximum suppression,salient curvature extremum,shape fingerprint,crease pixel,canny-like image processing operation,shape recognition,surface crease,range data | Optics,Materials science | Conference |
ISBN | Citations | PageRank |
3-540-28225-4 | 10 | 0.52 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alexander Belyaev | 1 | 464 | 20.63 |
| e v anoshkina | 2 | 10 | 0.52 |
| Ralph R. Martin | 3 | 3279 | 240.42 |
| helmut bez | 4 | 10 | 0.52 |
| Malcolm A. Sabin | 5 | 358 | 60.06 |