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.
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. 5. An information processing apparatus according to claim 2 , wherein the image transformation parameter is an affine parameter.