Using Dihedral Angles for Edge Extraction in Range Data

S Suganthan, SA Coleman, BW Scotney

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

The volume of raw range image data that is required to represent just a single scene can be extensive; hence direct interpretation of range images can incur a very high computational cost. Range image feature extraction has been identified as a mechanism to produce a more compact scene representation, in particular using features such as edges and surfaces, and hence enables less costly scene interpretation for applications such as object recognition and robot navigation. We present an approach to edge detection in range images that can be used directly with any range data, regardless of whether the data have regular or irregular spatial distribution. The approach is evaluated with respect to accuracy of both edge location and visual results are also provided.
LanguageEnglish
Pages108-118
JournalJournal of Mathematical Imaging and Vision.
Volume38
Issue number2
DOIs
Publication statusPublished - 30 Jun 2010

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Object recognition
Edge detection
Dihedral angle
Spatial distribution
Feature extraction
Navigation
Robots
Costs

Cite this

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Using Dihedral Angles for Edge Extraction in Range Data. / Suganthan, S; Coleman, SA; Scotney, BW.

In: Journal of Mathematical Imaging and Vision., Vol. 38, No. 2, 30.06.2010, p. 108-118.

Research output: Contribution to journalArticle

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