基于局部二值模式图像的光照归一化

2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics Pub Date : 2012-08-26 DOI:10.1109/IHMSC.2012.29

Y. Cheng, Zhigang Jin, Cunming Hao

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引用次数: 4

摘要

提出了一种基于局部二值模式图像(LBPI)的光照归一化方法。LBPI是利用局部二值模式(local binary pattern, LBP)对人脸图像中每个点的描述组合而成的一种全局描述。与传统方法相比，在耶鲁人脸数据库B上，实验结果表明，我们的算法可以显著提高在不同光照条件下的人脸识别性能。

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Illumination Normalization Based on Local Binary Pattern Image

This paper presents a novel and efficient illumination normalization method based on the local binary pattern Image (LBPI). LBPI is a global description combined by the descriptions of every points in the face image using the local binary pattern (LBP) Compared with the traditional approaches, the experimental results show that our algorithms can significantly improve the performance of face recognition under varying illumination conditions on Yale Face database B.

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来源期刊

2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics

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