Patent ID: 7760933
Filing Date: 2010-07-20
Classification: G06K,G06T

Abstract:
1. A collation method using a parameter estimation device, comprising: learning means for learning a correlation between a plurality of learning input data in which a parameter to be estimated is known and a parameter corresponding to each of the learning input data; and estimation means for estimating a parameter with respect to estimating input data in which a parameter to be estimated is unknown by using the learned correlation; wherein the learning means including a learning kernel matrix calculation means for calculating a learning kernel matrix by using the plurality of learning input data in which a parameter to be estimated is known, and an eigenvalue calculation means for obtaining an eigenvalue and an eigenvector of an inverse matrix of the learning kernel matrix; and the estimation means including an estimation kernel calculation means for calculating an estimation kernel by using the estimating input data in which a parameter to be estimated is unknown and the learning input data, and a parameter calculation means for calculating a parameter with respect to the estimating input data by using the learning kernel matrix, and the eigenvalue and the eigenvector of the inverse matrix of the learning kernel matrix; wherein the estimating input data and the learning input data are an image including a face, and the parameter to be estimated is a coordinate of a feature of the face; the method comprising: estimating a coordinate of a feature of a face with respect to a face image to be collated by using the parameter estimation device; then cutting out a face region based on the coordinate of the feature of the face; and collating a face image registered in the face image database with the cut-out face region.