Locally Smooth Manifold Learning
Piotr Dollár, Vincent Rabaud, Serge Belongie
SynopsisLSML is a method for determining a warping from a point on a manifold to its neighbors on the manifold. A direct application of this method is performed on video sequences where the ways of moving on the underlying manifold are learned and then used to move within and out of the training set. The warping is also applied to an unseen frame in order to transfer the transformations. |
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Downloads
Please, ask pdollar@caltech.edu or vrabaud@cs.ucsd.edu for the password in order to download our toolbox. The LSML code requires Piotr's Image Processing Toolbox, version 2.20 or higher. Updated as of Mar. 06, 2009, see readme.

