基于人脸特征定位的SNS网站应用组件研究与设计  

Research and design of SNS website application component based on face feature location

作　　者：吕鑫[1] 李月军[1] 

机构地区：[1]长春理工大学光电信息学院,吉林长春130000

出　　处：《现代电子技术》2016年第23期170-173,176,共5页Modern Electronics Technique

摘　　要：针对国内SNS网站进行调研,分析用户群体特征及社会心理,剖析SNS网站流行的原因,在此基础上提出了在SNS网站上运营好一款人气高、粘性强的应用组件。实验研究并分析了主动形状模型(ASM)和受限局部模型(CLM)的优缺点,提出将两者优点结合的人脸面部特征定位提取方法,设计开发了一款应用组件产品。通过用户上传照片或在线拍摄,捕捉出人脸头像及面部特征,并按照用户在图像库中选择的照片进行合成,生成一张具有两张人脸特征的新头像。将组件接入SNS网站,通过一段时间的运营数据分析,结合互联网的实际应用,提出对组件进行优化的方案。The SNS website in China is investigated to analyze the user group characteristics and social psychology, and dissect the popular reasons for the SNS website. On this basis, how to better operate a high-popularity and strong-stickiness ap- plication component on SNS website is proposed. The advantages and disadvantages of the active shape model （ASM） and CLM are studied and analyzed by the experiments. The face feature location extraction method combining with the advantages of the models is proposed. An application component product was designed and developed. The head portrait and face feature are cap- tured by means of the user photos upload and online shoot. The photos selected in the image library by users are synthesized to generate a new head portrait with two face features. The component is accessed into the SNS website. On the basis of analyzing the a period of operation data and combining with the practical application of the Internet, the optimization scheme of the compo- nent is proposed.

关 键 词：人脸检测 特征定位 SNS网站 应用组件 

分 类 号：TN911.734[电子电信—通信与信息系统] TM417[电子电信—信息与通信工程]