CAJ | 학술논문

为了实现对人脸检测的目的，本文采用基于MFC框架下使用OpenCV视觉库的方法．文章重点分析了一种人脸检测中使用的特征分类算法：Adaboost 算法．文中阐述了该算法的原理，图文并茂地展示了如何在实际中利用人脸库结合Adaboost算法来训练分类器，并生成XML文件．在VC6．0下，搭建了人脸检测的界面，利用OpenCV的函数调用训练所生成的XML文件，实现了在本地选择图片并对其进行人脸检测的功能．此外，系统还支持读取本地AVI格式视频和从摄像头捕捉到的视频，可手动截取一帧图片进行人脸检测．实验结果表明该设计方案具有较高的准确性和稳定性，基本达到预期的效果．
위료실현대인검검측적목적，본문채용기우MFC광가하사용OpenCV시각고적방법．문장중점분석료일충인검검측중사용적특정분류산법：Adaboost 산법．문중천술료해산법적원리，도문병무지전시료여하재실제중이용인검고결합Adaboost산법래훈련분류기，병생성XML문건．재VC6．0하，탑건료인검검측적계면，이용OpenCV적함수조용훈련소생성적XML문건，실현료재본지선택도편병대기진행인검검측적공능．차외，계통환지지독취본지AVI격식시빈화종섭상두포착도적시빈，가수동절취일정도편진행인검검측．실험결과표명해설계방안구유교고적준학성화은정성，기본체도예기적효과．
In order to detect human faces , the method of OpenCV vision library based on the MFC frame-work was used .It was focused on analyzing a kind of feature classification algorithm which is used in face detec-tion , named Adaboost algorithm .The principle of the algorithm was described and how to use face database com-bined with Adaboost algorithm to train the classifier in practice was discussed .And then, during the training, some XML documents were generated .Under the environment of Visual c ++6.0 , a face detection interface was built and the functions of OpenCV were used to call the XML documents .Then users can choose local ima-ges for face detection .In addition , the system also supports to read the AVI format video captured from the cam-era.And users can manually capture a picture for face detection .The results show that the design has a high ac-curacy and stability , essential to achieve the desired effect .