MULTI-SCALE GRADIENT INVARIANT FOR FACE RECOGNITION UNDER VARYING ILLUMINATION
2012 ◽
Vol 26
(08)
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pp. 1256016
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Keyword(s):
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.
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2013 ◽
Vol 34
(9)
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pp. 2078-2084
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Keyword(s):
2008 ◽
2021 ◽
Vol 660
(1)
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pp. 012131
Keyword(s):
2021 ◽
Vol 282
◽
pp. 122724
Keyword(s):
2013 ◽
Vol 639-640
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pp. 1010-1014
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