Contour Representation by Clustering Curvatures of the 3D Objects

摘要

The purpose of this work is to segment large size triangulated surfaces and the contoursextraction of the 3D object by the use of the object curvature value. The curvatures values allowcategorizing the type of the local surface of the 3D object. In present work the curvature wasestimated for the free-form surfaces obtained by the 3D range scanner. A free-form surface is thesurface such that the surface normal is defined and continuous everywhere, except at sharp cornersand edges [2, 5]. Two types of distance measurements functions based on Euclidian distance,bounded box and topology of surface were used for the curvature estimation. Clustering techniquehas been involved to cluster the values of the curvature for 3D object contour representation. Thedescribed technique was applied to the 3D objects with free-form surfaces such as the human footand cube.