3. The object recognition apparatus according to claim 1 , wherein the first feature amount is a first luminance vector calculated from the facial region of an image of a person included in the first dictionary information, the second feature amount is a second luminance vector calculated from the facial region of an image of a person included in the second dictionary information, and the determination unit determines whether or not a correlation value between the first luminance vector and the second luminance vector is greater than the predetermined threshold.
4. The object recognition apparatus according to claim 3 , wherein in the case where the extraction unit has extracted a first luminance vector I 1m calculated from images of people included in the first dictionary information of the first category and a second luminance vector I 2n calculated from n images of people included in the second dictionary information of the second category, the determination unit uses the following formula to calculate an average similarity between the first category and the second category and determines that the first dictionary information included in the first category and the second dictionary information included in the second category are the same in the case where the calculated average similarity is greater than the predetermined threshold. average ⁢ ⁢ similarity = 1 n × m ⁢ ∑ { ( I 1 ⁢ m · I 2 ⁢ n )  I 1 ⁢ m  ⁢  I 2 ⁢ n  }