基于OpenCV的中远距离人脸检测

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基于OpenCV的中远距离人脸检测
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杭州电子科技大学信息工程学院本科毕业设计ABSTRACTHuman face detection means that for a given image or video,to determinewhether it contains face regions,if so,determines the number,the exact location and thesize of all the faces.Human face detection is not only a necessary precondition of facerecognition,expression recognition technology,face tracking,but also,it plays ailimportant role in applications like in the intelligent human-computer interaction,videoconferencing,intelligent surveillance,video retrieval and so on.Therefore,facedetection technology attracted widespread attention in pattern recognition,computervision,human-computer interaction and other fields.This paper mainly introduces the number of face detection application programwhich is based on the OpenCV.This paper describes the national and internationalrecognition technology applications research and development and analysis the difficultsituation.In chapter 2 on the analysis of the AdaBoost algorithms integration of machinery tostudy of an important mechanism:more integrated approach in the classification of thestudy of study at the learning and integration is the key to the vote,the simplest methodis the absolute majority.Also,detailed analysis AdaBoost algorithm test speed,you candetect any scale the image quality.I developed the application program by using the Haar cascade classifier of theOpenCV for face recognition.The so-called Haar cascade classifier is a greater level ofclassifier which is associated with several simple boost classifiers,the detected targetspass through each classifier,the one who passed through all he classifiers can be judgedas the face region.By the experiment of sample photos recognition,it proved that theHarr cascade classifier face-detection method is a kind of high speed and precisionmethod.This paper's research is based on the OpenCV source code,in which some basicdata type and helping data type were created,and because of the opermess of the code,we build a human face detection system in the Visual C++environment.Key words:face detection AdaBoost;classifier OpenCv
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