Nonlinear Image Interpolation using Manifold Learning

Part of Advances in Neural Information Processing Systems 7 (NIPS 1994)

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Christoph Bregler, Stephen Omohundro


The problem of interpolating between specified images in an image sequence is a simple, but important task in model-based vision. We describe an approach based on the abstract task of "manifold learning" and present results on both synthetic and real image se(cid:173) quences. This problem arose in the development of a combined lip-reading and speech recognition system.