Combining Gradient Operators and Dihedral Angle for 2D and 3D Feature Extraction

S Suganthan, SA Coleman, BW Scotney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In range images, features can be determined by, for example, looking for significant changes in gradient magnitude output, or computing normal changes. We present an approach to determining features in a range image by computing the dihedral angle between two surfaces; the partial derivatives required for this computation are provided via the use of the gradient operators presented in (Suganthan et al., 2008). In addition we demonstrate how this family of gradient operators can be used to find features in both intensity and range images, and the accuracy of the approach is highlighted through the use of the Figure of Merit evaluation technique on real image.
Original languageEnglish
Title of host publicationUnknown Host Publication
EditorsBW Scotney, PJ Morrow
Pages117-122
Number of pages6
DOIs
Publication statusPublished - Sep 2008
EventInternational Machine Vision and Image Processing Conference (IMVIP 2008) - Portrush, Northern Ireland
Duration: 1 Sep 2008 → …

Conference

ConferenceInternational Machine Vision and Image Processing Conference (IMVIP 2008)
Period1/09/08 → …

Fingerprint Dive into the research topics of 'Combining Gradient Operators and Dihedral Angle for 2D and 3D Feature Extraction'. Together they form a unique fingerprint.

  • Cite this

    Suganthan, S., Coleman, SA., & Scotney, BW. (2008). Combining Gradient Operators and Dihedral Angle for 2D and 3D Feature Extraction. In BW. Scotney, & PJ. Morrow (Eds.), Unknown Host Publication (pp. 117-122) https://doi.org/10.1109/IMVIP.2008.22