Probabilistic Search for Object Segmentation and Recognition


The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range data of the scene. A new statistical criterion, the truncated object probability, is introduced to infer an optimal sequence of object hypotheses to be evaluated for their match to the data… (More)
DOI: 10.1007/3-540-47977-5_52


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