Nonlinear Image Interpolation Using Manifold Learning
Abstract
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.
Cite
Text
Bregler and Omohundro. "Nonlinear Image Interpolation Using Manifold Learning." Neural Information Processing Systems, 1994.Markdown
[Bregler and Omohundro. "Nonlinear Image Interpolation Using Manifold Learning." Neural Information Processing Systems, 1994.](https://mlanthology.org/neurips/1994/bregler1994neurips-nonlinear/)BibTeX
@inproceedings{bregler1994neurips-nonlinear,
title = {{Nonlinear Image Interpolation Using Manifold Learning}},
author = {Bregler, Christoph and Omohundro, Stephen M.},
booktitle = {Neural Information Processing Systems},
year = {1994},
pages = {973-980},
url = {https://mlanthology.org/neurips/1994/bregler1994neurips-nonlinear/}
}