Face recognition based on cycle kernel and gray kernels

Qiang-rong Jiang, Qianqian Lu
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Abstract

Face recognition involves computer recognition of personal identity based on geometric or statistical features derived from face images. Even though humans can detect and identify faces in a scene with little or no effort, getting a computer to accomplish such objectives is very challenging. Researchers have been always investigating simple, accurate, and convenient approach to achieve face recognition. In this paper, we propose a novel multiple kernels method, which is based on cycle kernel and gray kernels. Experimental results indicate that multiple kernels method gets good performance.
基于循环核和灰色核的人脸识别
人脸识别涉及基于人脸图像的几何或统计特征的个人身份的计算机识别。尽管人类可以毫不费力地在一个场景中检测和识别人脸,但让计算机完成这样的目标是非常具有挑战性的。研究人员一直在探索简单、准确、方便的人脸识别方法。本文提出了一种基于循环核和灰色核的多核方法。实验结果表明,多核方法具有良好的性能。
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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