Task-specific gesture analysis in real-time using interpolatedviews
Darrell, T.J.; Essa, I.A.; Pentland, A.P.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 18, Issue 12, Dec 1996 Page(s):1236 - 1242
Digital Object Identifier   10.1109/34.546259
Summary:Hand and face gestures are modeled using an appearance-based approach in which patterns are represented as a vector of similarity scores to a set of view models defined in space and time. These view models are learned from examples using unsupervised clustering techniques. A supervised teaming paradigm is then used to interpolate view scores into a task-dependent coordinate system appropriate for recognition and control tasks. We apply this analysis to the problem of context-specific gesture interpolation and recognition, and demonstrate real-time systems which perform these tasks

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