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 principle component analysis. We demonstrate by means of examples that our approach has a smaller reconstruction error and equivalent performance to the current best approaches.

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