Loading [a11y]/accessibility-menu.js
CurvMaps: A Novel Feature for 3D Model Classification | IEEE Conference Publication | IEEE Xplore

CurvMaps: A Novel Feature for 3D Model Classification


Abstract:

Exploiting 2D-manifold slicing and parameterisation techniques in order to manage a 3D model as a 2D representation is an active research field, that enables the applicat...Show More

Abstract:

Exploiting 2D-manifold slicing and parameterisation techniques in order to manage a 3D model as a 2D representation is an active research field, that enables the application of a wide range of image processing and analysis techniques. In this work, we propose a method to represent a 3D model's surface on a 2D regular grid and encode its k1 curvature, thus producing a new 3D geometry feature, the CurvMaps, that may be used for 3D model classification. The feature creating transformation relies on the identification of a 3D model's geometrical "extrema", the computation of k1 principal curvature and its encoding into a 2D regular grid. The applicability of CurvMaps in 3D model classification is being discussed through the experimentation with a number of classical methods.
Date of Conference: 25-27 September 2018
Date Added to IEEE Xplore: 09 May 2019
ISBN Information:
Print on Demand(PoD) ISSN: 1541-1672
Conference Location: Funchal, Portugal

References

References is not available for this document.