| 摘要 |
A feature amount extracting unit extracts feature amount vectors of an inputted image. A probability distribution calculator calculates a probability distribution of feature amount vectors in a calculation space range which is set by a calculation space range setting unit. A probability distribution storage stores the probability distribution in association with identifiers of learning objects. A posterior probability calculator calculates a posterior probability, which is a probability that a recognition object corresponds to each of the learning objects, using feature amount vectors calculated from an image of the recognition object and the probability distribution of the learning objects stored in the probability distribution storage. A posterior probability comparing unit compares posterior probabilities calculated and outputs a result of recognition of the recognition object.
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