Issue No.06 - June (2011 vol.17)
Richard Southern , Bournemouth University, Poole
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.95
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.
Geometric modeling, statistical models, scene analysis, clustering methods.
Richard Southern, "Motion-Sensitive Anchor Identification of Least-Squares Meshes from Examples", IEEE Transactions on Visualization & Computer Graphics, vol.17, no. 6, pp. 850-856, June 2011, doi:10.1109/TVCG.2010.95