A novel incremental multi-view face tracking algorithm is proposed in the graphic model, which includes a general view manifold and specific incremental face model. We extend a general view manifold to the state-space model of face tracking to represent the view continuity and nonlinearity in the video data. Particularly, a global constraint on the overall appearance of the tracked multi-view faces is defined based on the point-to-manifold distance to avoid drifting. This novel face tracking model can successfully track faces under unseen views, and experimental results proved the new method is superior to two state-of-art algorithms for multi-view face tracking.
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