摘要
本系统针对图片分类问题进行分析和讨论,旨在提取图片中的脸部轮廓,利用脸部的详细信息对比不同图片中人脸的相似度,从而实现对相册图片的自动分类管理。利用OpenCV中提供的人脸检测和人脸识别的功能,即使用哈尔小波变换(Haar)和Adaboosting算法进行检测,找出图片中脸部所在区域,进而使用局部二进制模式直方图(LBPH)对人脸进行预测,获得两张脸部之间的相似度,依照目录整理后,可达到图片按人脸分类的效果。在此基础上设计用户操作界面,实现简易、快捷的操作。软件测试结果表明,该软件人脸检测和人脸匹配的成功率较高,为生活提供了便利。
For a system of analysis and discussion of image classification,the main problem to be solved is similarity extraction of face and contrast to images of two human face,to realize automatic classification management on the album picture.Application of OpenCV in face detection and face recognition function,using Haar and Adaboosting,can find images of the face region,and then use LBPH to predict the face,to obtain the similarity between two faces.In accordance with the directory,the pictures in the face classification can be achieved.After the completion of the user interface design,the user can obtain simple,convenient operation.Software test results show that face detection and face matching function have a higher success rate,and this software provides a convenient conditions for life.
出处
《计算机科学》
CSCD
北大核心
2014年第B11期150-153,共4页
Computer Science
