现代电子技术2016，Vol.39Issue(23)：170-173,178,5.DOI:10.16652/j.issn.1004-373x.2016.23.042
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
吕鑫 1李月军1
作者信息
- 1. 长春理工大学 光电信息学院，吉林 长春 130000
- 折叠
摘要
Abstract
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Key words
face detection/feature location/SNS website/application component分类
信息技术与安全科学引用本文复制引用
吕鑫,李月军..基于人脸特征定位的SNS网站应用组件研究与设计[J].现代电子技术,2016,39(23):170-173,178,5.
