基于人脸识别的图像美化系统设计与实现-软件工程专业论文.docx

华中科技大学硕士学位论文 华 中 科 技 大 学 硕 士 学 位 论 文 II II Abstract With the double-quick development of society and science technology, the field in computer application is also expanding as soon as possible.So digital image processing techonology has emerged as the times require as a bran-new image processing method.As the same time, it is also applied to more and more domains. Digital image processing is a method and technology which uses computer devices to convert image to digital informations in order to save,process,transmit and recur,and process image for wipe off yawp,enhance,recove,partition and extraction.Face recognition technology as a particular application of pattern recognition in image field is widely applied to surveillance and security， digital libraries，video meeting，and human-computer intelligent interaction and so on. The application area combining digital image process with face recognition technology is more and more extensive and embedded to people’s life at present. But as the present computer level, the ability of computer in outside apperception is still very weak, so it needs more manpower and more material resource to do research on the theories and applications of combining digital image processing with face recognition. In this paper, we discuss one of the applications of face recognition among image processing which is based on geometry feature method. This system includes several functions such as pre-processing of facial images、face figure diction、automatic location of the eyebrow、eye、nose and mouth，and recognition of face images.In the part of face diction, the method used in this thesis is face diction algorithm based on haar-like feature. It can provide with high accurate, meet the request for real time detection, use the library provided by OpenCV combining with cascade classifier to describe the face using a serial of haar-like features. In our researehes for facial features localization，the method of active shape model(ASM) was used in order