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Abstract

A memory based computer graphic animation system generates desired images and image sequences from 2-D views. The 2-D views provide sparse data from which intermediate views are generated based on a generalization and interpolation technique of the invention. This technique is called a Hyper Basis function network and provides a smooth mapping between the given set of 2-D views and a resulting image sequence for animating a subject in a desired movement. A multilayer network provides learning of such mappings and is based on Hyper Basis Functions (HBF's). A special case of the HBFs is the radial basis function technique used in a preferred embodiment. The invention generalization/integration technique involves establishing working axes along which different views of the subject are taken. Different points along the working axes define different positions (geometrical and/or graphical) of the subject. For each of these points, control points for defining a view of the subject are either given or calculated by interpolation/generalization of the present invention.

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First Claim