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。
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。
Face detection is an important step in many applications such as human face recognition, video conferencing, human computer interfacing etc.
人脸检测在许多应用中都是重要的一个处理阶段，例如人脸识别、电视会议、人机界面等。
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。
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 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。
The main work in this paper include: side face image detection, side face feature extraction and side face recognition and so on.
本文工作包括：侧面人脸的检测与定位，侧面人脸面部特征的定位与提取和侧面人脸的识别等内容。
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。
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。
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。
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。
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。
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。
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。
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。
Face detection is the premise of face recognition.
人脸检测是人脸识别的前提。
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。
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。
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。
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。
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。
The paper elaborates the design and implementation of face detection, face recognition, image acquisition and implementation of radio frequency-cards information access.
文中重点阐述了人脸检测识别软件的设计与实现、图像采集及射频信息读取的实现。
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。
Face detection is the necessary earlier task in face recognition process, aiming at separating the face area from the background image.
人脸检测是人脸识别过程中的必要前期工作，其主要作用是将人脸部分从背景图像中分离出来。
A facial expression recognition system contains face detection, face feature extraction, feature selection and expression classification.
表情识别系统包括人脸检测、人脸特征提取、特征选择以及表情分类等几部分。
Face detection come from face recognition, it is the first stage of face recognition system, is also a critical stage.
人脸检测源自人脸识别，是人脸识别系统中的第一阶段，也是一个关键阶段。
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。
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。
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。
应用推荐