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一种眼睛精确定位的人脸检测方法

A Face Detection Method by which Eyes be precisly located
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摘要 提出了一种图像生成的概率模型,通过检测人脸区域与该区域内人脸的特征,获得最佳的推理算法.该方法将图像分割成若干任意大小区域,包括人脸区域与背景区域,其目的是对相似度模型进行改进,以便判别人脸与背景区域的生成部分,然后利用GentleBoost算法定位出任意图像的人脸和人眼部分.实验结果表明,采用该方法能获得较好的效果,具有一定的使用价值. In the paper, a probabilistic model of image generation was proposed and the optimum inference algorithm was derived through detecting faces and features within the face framework. The images were divided into patches of arbitrary size, containing the face and background district. The purpose of doing so was to improve likelihood-ratio models for face versus background generated patches and locate the faces and eyes on arbitrary images by Gentle Boost algorithm. The results demonstrated that this algorithm is feasible and applicable.
作者 林志阳 张群东 张春元 易家傅
机构地区 海南大学信息科学技术学院 韩城市广播电视局
出处 《海南大学学报（自然科学版）》 CAS 2009年第4期395-399,共5页 Natural Science Journal of Hainan University
基金 海南省自然科学基金项目(80638)
关键词 人脸定位 人脸检测 GentleBoost算法 模型生成 eye location face detection Gentle Boost algorithm generative models
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16

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共引文献414

海南大学学报（自然科学版）
2009年 第4期

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