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A Probabilistic Hypothesize-and-Test Paradigm
Model-based object recognition or, more generally, scene interpretation may be conceptualized as a two-part process: one that generates a sequence of hypotheses on object identities and poses, the other that evaluates them based on the object models. Viewed as an optimization problem, the former is concerned with the search sequence, the latter with the objective function.
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