Face image barcodes by distributed cumulative histogram and clustering

R. Melnyk, Yurii Kalychak
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引用次数: 2

Abstract

Two generations of distributed cumulative histogram are in the base of the proposed approach to determine face features. The rough barcodes of the face image were obtained. The clustering K-means algorithm was applied to features to get more contrast bands of color. Then rough barcodes were transformed to real barcodes by highlighting the maximal bands and remaining all other as black background.
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人脸图像条形码的分布累积直方图和聚类
在该方法的基础上建立了两代分布累积直方图来确定人脸特征。得到人脸图像的粗条形码。对特征采用聚类K-means算法,得到更多的颜色对比带。然后通过突出显示最大条带,其余全部保留为黑色背景,将粗糙条形码转换为真实条形码。
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