Evaluation of GAT Correlation's Ability in Affine-Invariant Matching of Gray-Scale Face Images(Biometrics2)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2006-11-17

著者

• Wakahara Toru

  Faculty Of Computer And Information Sciences Hosei University

• Makino Shinya

  Faculty Of Computer And Information Sciences Hosei University

関連論文

• AFFINE-INVARIANT RECOGNITION OF FACE IMAGES USING GAT CORRELATION(International Workshop on Advanced Image Technology 2006)
• Evaluation of GAT Correlation's Ability in Affine-Invariant Matching of Gray-Scale Face Images(Biometrics2)

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