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基于核回归方法的人脸检测技术

A Method of Face Detection based on Kernel Regression
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摘要 核回归法是一种非参数估计方法,其显著优点是:回归模型完全由数据驱动,无需信号具体形式。近些年来,有研究者将该方法应用在图像降噪和图像修补等方面,得到较好效果。在理解该方法原理的基础上,通过实验说明核回归方法在人脸检测技术方面也值得应用,而且效果较好。 The Kernel regression is a nonparametric estimation methods,it is an important advantage that the method relies on the data itself to dictate the structure of the model without knowing the form of signal.In recent years,some researchers taked the method into image denoising and image retrieval,and they obtained the excellent effect.But the method is applied to face detection in a few studies.This paper introduces that the method is extended to face detection,and shows the effect of experiment.
作者 侯文涛 林嘉宇
机构地区 国防科学技术大学电子与通信工程学院
出处 《微处理机》 2012年第2期58-61,共4页 Microprocessors
关键词 核回归 人脸检测 权特征 Kernel regression Face detection Weight feature
分类号 TP391 [自动化与计算机技术—计算机应用技术]
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参考文献10

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共引文献16

微处理机
2012年 第2期

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