By Topic

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

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Suganthan, S. ; Sch. of Comput. & Intell. Syst., Univ. of Ulster, Derry ; Coleman, S. ; Scotney, B.

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.

Published in:

Machine Vision and Image Processing Conference, 2008. IMVIP '08. International

Date of Conference:

3-5 Sept. 2008