Face detection and recognition consists of face detection and face identification.
由人脸检测和人脸识别两个关键环节组成。
Finally, it studies the application of the edge detection in human face detection and recognition.
最后通过实例研究了人脸边缘检测在人脸检测和识别中的具体应用。
Due to its complexity, it is difficult to describe the rules of human face detection and recognition.
人脸的检测和识别是一个非常复杂的问题，对它的许多规律和规则进行显性的描述是相当困难的。
Face detection and recognition technology is an important method for identity authentication using biometrics.
人脸检测与识别技术是利用生物特征技术进行个人身份鉴定的一种重要手段。
In recent years, face detection and recognition technology has become the most promising means of authentication.
近些年来，人脸检测识别技术逐渐成为最具潜力的身份验证手段。
The standard large face database is required to verity the performance of face detection and recognition algorithm.
为了检验面像检测和识别算法的优劣，需要有大量的人脸样本。
Face detection and recognition have numerous multimedia applications of broad interest, one of which is automatic face annotation.
人脸检测和识别有众多的多媒体应用广泛的兴趣，其中一个是人脸自动注释。
Face detection and recognition technique is one of the most important and practical issue in the field of pattern recognition and computer vision.
人脸检测与识别技术是模式识别、计算机视觉领域内具有理论价值和应用前景，且极具挑战性的研究课题之一。
However, if the resolution of the face images collected by cameras is not high enough, it affects the success rate of the face detection and recognition.
但如果摄像头采集到的人脸图像的分辨率不够高的话，将会影响到人脸检测和识别的成功率。
The topics such as face representation, classifier design and the design of Face Detection and Recognition System for images with complex background are discussed in details.
重点讨论了人脸表示、分类器的设计和复杂背景下快速人脸检测与识别系统架构问题。
Automatic face detection and recognition has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years.
近些年来，自动人脸检测与识别在图像处理和计算机视觉领域引起许多学者的关注。
Through studying the face detection and recognition technique, this thesis presents a method of face detection based on eyes feature and improves the PCA to recognize human face.
本文通过对人脸检测与识别技术的研究，提出了一种利用眼睛梯度特征的人脸检测方法并对主成分分析方法做了改进以进行人脸识别。
The feature of skin color is an important feature of human being, which plays a key role in human face detection and recognition, objectionable image filtering based on content, etc.
肤色特征是人体表面的重要特征，在人脸检测与识别、基于内容的不良图像过滤系统中有着重要的地位。
Although a lot of arithmetic of face detection and recognition has come forth, the recognition rate, the recognition velocity and the robustness of arithmetic etc are not ideal enough yet.
虽然近几十年来出现了大量的人脸检测与识别的算法，但识别率、识别速度以及算法鲁棒性等方面还是不够理想。
In this thesis, we propose a new Multi-Feature analysis method for face detection and recognition. An extensible real time face detection and recognition system with high performance is developed.
本论文研究人脸检测和识别的多特征分析方法，设计和实现了一个具有高检测率和识别率、具有可扩展性的实时人脸检测与识别系统。
A complete Human Face Recognition System should include Human Face Detection, Feature Extraction, and Match Recognition.
一个完整的人脸识别系统包括人脸检测、特征提取、以及匹配识别。
Human face problems consist of four parts: human face detection, human face tracking, human face recognition and the derived analysis of pose and expression.
人脸问题主要包括：人脸检测、人脸跟踪、人脸识别，以及其衍生出来的姿态和表情分析四个应用领域。
Face contour extraction is a significant precondition of facial image analysis such as facial features detection and face recognition.
人脸轮廓提取是人脸特征检测和人脸识别等人脸图像分析的重要前提。
Eyes location and face detection are important parts of face recognition, and in complex background, illumination and other objects have influence on eyes location and face detection.
人眼定位和人脸检测是人脸识别的重要环节，复杂背景下，人眼定位及人脸检测容易受到光照以及其它物体的影响。
Face detection of color images with complex background and face recognition of gray images were studied in this paper.
本文主要研究了复杂背景下的彩色人脸检测和灰度图的人脸识别。
The detection and location of eyes is a very important part of face recognition.
人眼检测和定位是人脸识别技术中一个重要组成部分。
Face recognition normally be regarded as have three processes that are face detection, features extraction and pattern classification.
人脸识别一般分为人脸检测、特征抽取和模式分类三个部分。
This paper examines the research situation on face image detection and recognition and designs a facial feature automatic extract system.
对人脸图像检测与识别技术的研究现状进行简要论述，并自行设计一个人脸特征自动提取系统。
Human face automatic recognition system is a cross subject combined with pattern recognition, computer vision and biometrics, in which human face detection is a key factor.
人脸识别是模式识别与计算机视觉、生物识别技术的交叉学科，而人脸检测是人脸识别系统的关键环节。
System consists of three parts, according to data flow in the order, respectively video capture module, face detection and localization module and face recognition module.
系统分为三部分，按数据流程的先后顺序，分别是视频采集模块、人脸检测和定位模块及人脸识别模块。
Face recognition includes three parts: face detection and localization, feature extraction and classification.
人脸识别主要包括三方面的内容：人脸检测与定位，特征提取，分类与识别。
It finds applications in various areas, such as face detection, face recognition, gesture recognition, expression recognition, face image compression and reconstruction, and face cartoon.
它可广泛应用于人脸跟踪、人脸识别、姿态识别、表情识别、头部像压缩及重构、脸部动画等领域。
As a key technology for information processing, face detection has become a popular area of importance, very active research topic in Computer Vision and Pattern Recognition in recent years.
人脸检测作为人脸信息处理中的一项关键技术，近年来成为模式识别与计算机视觉领域内一项受到普遍重视、研究十分活跃的课题。
It can be seen, whether it is face detection or recognition, has important research value and practical significance.
由此可知，不管是人脸检测还是人脸识别，都具有重要的研究价值和实际意义。
It can be seen, whether it is face detection or recognition, has important research value and practical significance.
由此可知，不管是人脸检测还是人脸识别，都具有重要的研究价值和实际意义。
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