Patent Document ID: 20070098255
Application ID: 11589872
Patent Status: 0

Claim One:
1. An image processing system comprising: a learning device that generates, in advance, a recognizer for recognizing a recognition target; and a recognition device that recognizes, using the recognizer, whether or not a recognition image includes the recognition target, wherein the learning device includes model feature point generating means for generating a plurality of feature points as model feature points from a model image including the recognition target, model feature quantity generating means for generating feature quantities as model feature quantities at the model feature points, learning feature point generating means for generating a plurality of feature points as learning feature points from a learning image that includes the recognition target or that does not include the recognition target, learning feature quantity generating means for generating feature quantities as learning feature quantities at the learning feature points, learning correlation feature quantity generating means for selecting a learning feature quantity that exhibits the highest correlation with respect to each of the model feature quantities and for generating the level of correlation with respect to the selected learning feature quantity as a learning correlation feature quantity, and recognizer generating means for generating the recognizer in accordance with the learning correlation feature quantity and presence/absence information indicating whether or not the learning image includes the recognition target, and wherein the recognition device includes recognition feature point generating means for generating a plurality of feature points as recognition feature points from the recognition image, recognition feature quantity generating means for generating feature quantities as recognition feature quantities at the recognition feature points, recognition correlation feature quantity generating means for selecting a recognition feature quantity that exhibits the highest correlation with respect to each of the model feature quantities and for generating the level of correlation with respect to the selected recognition feature quantity as a recognition correlation feature quantity, and recognition processing means for determining whether or not the recognition image includes the recognition target by substituting the recognition correlation feature quantity into the recognizer.