9. An information processing apparatus according to claim 2 , wherein the recognition-result generating means sets, as a recognition result, a least square estimation result of the image transformation parameter of the models in which the numbers of elements of the recognition corresponding feature point pair group obtained by the posture estimating means are equal to or larger than a predetermined threshold.
2. An information processing apparatus according to claim 1 , wherein the posture estimating means projects, onto a parameter space, an image transformation parameter for determining a positional posture in three dimensions including an image plane and time of the model moving image determined by N sets of the candidate corresponding feature point pairs selected at random, obtains a cluster having a largest number of members among clusters formed by performing clustering on the parameter space, and sets the candidate corresponding feature point pairs, which are members of the cluster having the largest number of members, as the recognition corresponding feature point pair group.