Evaluation of GAT Correlation's Ability in Affine-Invariant Matching of Gray-Scale Face Images

摘要

This paper addresses a challenging problem of affine-invariant matching of face images. The enhanced GAT correlation technique demonstrates a marked ability for matching a canonical face image against artificially affine-transformed face images subject to rotation within 45 degrees, scale change within 50 percent, and translation within 25 percent of the face extent. Also, in recognition experiments using 300 faces×8 images (4 frontal and 4 near-frontal images) in the public HOIP face image database as test samples the proposed method has achieved a very high recognition rate of 99.75% by only using simple and rough moment normalization as preprocessing.