Probabilistic fusion of multiple algorithms for object recognition at information level


Reliable object recognition is a mandatory prerequisite for service robots that operate in everyday environments. Typical approaches run a single classifier for the purpose of object recognition. However, no single algorithm proved to classify across all types of objects. We propose an approach that combines the recognition result of several methods working… (More)
DOI: 10.1109/TePRA.2012.6215668


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