MULTI-SCALE GRADIENT INVARIANT FOR FACE RECOGNITION UNDER VARYING ILLUMINATION

作者：Xu Bin^*; Tang Yuan Yan; Fang Bin; Shang Zhao Wei

来源：International Journal of Pattern Recognition and Artificial Intelligence, 2012, 26(8): 1256016.

DOI：10.1142/S0218001412560162

• Face recognition
• illumination-insensitive measure
• multi-scale

In this paper, a novel approach derived from image gradient domain called multi-scale gradient faces (MGF) is proposed to abstract multi-scale illumination-insensitive measure for face recognition. MGF applies multi-scale analysis on image gradient information, which can discover underlying inherent structure in images and keep the details at most while removing varying lighting. The proposed approach provides state-of-the-art performance on Extended YaleB and PIE: Recognition rates of 99.11% achieved on PIE database and 99.38% achieved on YaleB which outperforms most existing approaches. Furthermore, the experimental results on noised Yale-B validate that MGF is more robust to image noise.

• 出版日期2012-12
• 单位重庆大学