Patent ID: 6647139
Filing Date: 2003-11-11
Classification: G06K

Abstract:
An object recognition method comprising at least a learning step of learning a first entered image, and a recognition step of recognizing a second entered image, wherein said learning step includes:a step of entering the first image including the object to be learned, a step of dividing said entered image into a first partial image, a step of classifying said first partial image into plural classes, a step of calculating a matrix for feature extraction from said partial image classified into classes, a step of calculating a first feature by using said matrix for feature extraction from said partial image classified into classes, and a step of storing the data of said first feature, and said recognition step includes: a step of receiving a second image including the object to be recognized, step of dividing said entered image into a second partial image, a step of calculating a second feature by using a matrix for feature extraction from said second partial image, a step of calculating the similarity measure of the first image and second image by using said stored first feature data and second feature, a step of recognizing the object in said second image by using said similarity measure, and a step of issuing said result of recognition, wherein the step of entering the first image including the object to be learned is to enter plural pieces of image information mutually different in properties about one object to be learned, said learning step further includes a step of integrating said plural pieces of information and generating first integrated information, said first partial image includes said first integrated information, said step of entering the second image including the object to be recognized is to enter plural pieces of image information mutually different in properties about one object to be recognized, said recognizing step further includes a step of integrating said plural pieces of information and generating second integrated information, and said second partial image includes second integrated information.