Illumination Invariant Face Recognition with Whitening Filter and Local Binary Patterns

Shun Li, Fei Long, Xuefeng Cheng
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引用次数: 1

Abstract

In this paper we present an approach for the illumination invariant face recognition, which combines 2D spatial whitening filter with the LBP descriptor. Firstly, we preprocess each face image by applying whitening filter in the logarithm domain. Then LBP features are extracted based on the filtered images. After representing image with a LBP operator, the image will be divided into non-overlapped blocks and histograms are used to represent each block. Finally the concatenated histograms are used for recognition. The experimental results on the Yale B and Extended Yale B prove the out performance of the proposed method compared to other existing methods.
基于白化滤波和局部二值模式的光照不变人脸识别
本文提出了一种将二维空间白化滤波器与LBP描述子相结合的光照不变人脸识别方法。首先,在对数域应用白化滤波对每张人脸图像进行预处理。然后根据过滤后的图像提取LBP特征。使用LBP算子表示图像后,将图像划分为不重叠的块,并使用直方图表示每个块。最后利用拼接直方图进行识别。在Yale B和Extended Yale B上的实验结果证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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