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Proceedings Paper

Local feature detection for digital surfaces
Author(s): Peter Veelaert
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Paper Abstract

Some properties of digital surfaces, such as straightness or flatness can be detected by the combined action of a large set of simple local feature detectors. Our goal is to examine how we can use feature detectors to improve the computation of tangents, curvature, surface normals for digitized curves and surfaces. For continuous surfaces these standard functions can be computed by differential operators. We propose to replace the differential operators by sets of difference operators and feature detectors. For each part of the surface the feature detectors determine which difference operator yields the best approximation for the differential. We show that both the set of feature detectors and the set of difference operators have a rigid mathematical structure. To examine this structure, i.e. the functional decomposition and combination of multiple feature detectors, we use Groebner bases.

Paper Details

Date Published: 30 September 1996
PDF: 12 pages
Proc. SPIE 2826, Vision Geometry V, (30 September 1996); doi: 10.1117/12.251795
Show Author Affiliations
Peter Veelaert, State Univ. of Ghent (Belgium)


Published in SPIE Proceedings Vol. 2826:
Vision Geometry V
Robert A. Melter; Angela Y. Wu; Longin Jan Latecki, Editor(s)

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