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长 春 大 学 毕业设计(论文)纸
面部检测与定位系统的设计与实现
[摘要] 随着经济社会的日趋发展,快速有效的自动身份识别的要求日益迫切,这使得面部识别技术的发展变得越来越重要。然而,面部识别技术由于其具有复杂、难度大且起步晚的特点,当前发展还不是很成熟,这极大地限制了它的应用。
本论文对面部识别技术的算法作了全面的研究。首先研究了人脸检测的方法,包括基于知识的自顶向下的方法、基于人脸特征的自底向上的方法、模板匹配的方法、基于人脸外观的方法,之后重点研究了基于肤色的人脸检测算法。在研究人脸检测方法之后又对人脸的区域分割和人脸特征的标注进行了说明。最终提出了两种人脸检测方法,第一种方法为基于相似度的方法,通过相似度计算、二值化之后标记出人脸区域。第二种方法为基于皮肤区域、头发区域的方法,这是用利用颜色来检测人脸区域的方法。在人脸区域检测完毕之后又对检测出的人脸进行了人脸特征的标注。
本论文讨论的方法都由C++语言来开发,在Windows XP下即可调试。
[关键词] 面部检测与定位 人脸区域检测 特征标注 C++
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长 春 大 学 毕业设计(论文)纸
Design and Implementation of Face Detection and Location
System
[Abstract] With the development of the economy and society,the need of improving the efficiency and security for some jobs becomes more and more important,such as certification testifying and automatic control in some entrance with camera.
This makes the face recognition becomes more important.First study of humen face detection method.Icluding knowledge-based top-down apprpach,facial features based on bottom-up approach,template matching method,method based on face appearance.Focus of study after the color-based face detection algorithm.Face detection method in the study later on the face of the region segmentation and facial feature of the mark are described.Finally propose two mathods of face detection.The first method is based on the similarity of approace.Through the similarity calculation,binary face region after the mark.The second method is based on areas of skin,hair regional approach.It is used to detect the use of color face region methods.Face region detection in the later completion of the humen face on the detection of facial features were marked. This paper discusses the methods by C++ language to develop.In Windows XP you can debug the next.
[Key words] Face Detection and Location Face region detection
Features marked
C++
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