Title :
Motion-Sensitive Anchor Identification of Least-Squares Meshes from Examples
Author :
Southern, Richard ; Zhang, Jian J.
Author_Institution :
Nat. Centre for Comput. Animation, Bournemouth Univ., Poole, UK
fDate :
6/1/2011 12:00:00 AM
Abstract :
A least-squares mesh is a surface representation consisting of a small set of anchor points and the differential and topological properties of the surface. In this paper, we present a novel method to identify motion-sensitive anchor points for least-squares meshes from a set of examples. We present a new method, called clustered teleconnection analysis, to identify the maximally excited points in a subset of basis vectors deduced using principal component analysis. We demonstrate by means of examples that our approach has a smaller reconstruction error and equivalent performance to the current best approaches.
Keywords :
computational geometry; computer graphics; image representation; least squares approximations; mesh generation; pattern clustering; principal component analysis; reverse engineering; basis vectors; clustered teleconnection analysis; clustering methods; computer graphics research; deformable model reverse engineering; geometric modeling; least-squares meshes; motion-sensitive anchor points identification; principal component analysis; scene analysis; statistical models; surface representation; Animation; Clustering methods; Computer errors; Computer graphics; Deformable models; Image analysis; Joints; Laplace equations; Laser modes; Reverse engineering; Geometric modeling; clustering methods.; scene analysis; statistical models;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2010.95
