Issue No. 06 - June (2011 vol. 17)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2010.95
Richard Southern , Bournemouth University, Poole
Jian J. Zhang , Bournemouth University, Poole
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.
J. J. Zhang and R. Southern, "Motion-Sensitive Anchor Identification of Least-Squares Meshes from Examples," in IEEE Transactions on Visualization & Computer Graphics, vol. 17, no. , pp. 850-856, 2010.