Model-Based Recognition
Model-based recognition seeks to match a parameterized model with one or more images that are known prior to depicting an instance of the model; the model may be as simple as a surface of revolution or as complex as a human face [DU94]. The latter example is clearly applicable to telecollaboration, where human faces are the dominant features of the scene.
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