检测人脸。
The automatic recognition and detection of human face is one of the most interesting and challenging topics in the fields of Artificial Intelligence and Computer Vision.
人脸检测与识别技术是人工智能和机器视觉领域内最具挑战性的研究课题之一。
The result of the experiment shows that this approach can solve the problem of multi human face detection from complex scene.
实验结果表明，该方法能够较好地解决复杂背景下的正面人脸的检测问题。
Human face detection is one of the most important research fields on pattern recognition.
人脸的检测、识别是当前模式识别中重要的研究方向。
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。
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。
Head and shoulder detection is one of the important problems on human body analysis. It is the first step of face detection and the base of pedestrian detection.
头肩图像检测是人体分析研究中受关注的研究方向，是人脸检测的第一步，也是行人检测的基础。
A method for human face detection under complex background is proposed on the basis of human vision mechanism and skin color clustering features.
在人类视觉机制和肤色聚类特性的基础上，提出了一种复杂背景下人脸检测方法。
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。
Human face problems consist of four parts: human face detection, human face tracking, identification of human face and the interrelated 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。
This part briefly introduces the concepts of human face detection and SVM, analyzes common face detection methods and how SVM be applied to learning and classifying.
文章简要介绍了人脸检测和支持向量机的概念，重点分析了常用的人脸检测方法和支持向量机如何应用于学习分类。
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。
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 automatic detection and radiation correction of a highlighted face area is helpful to analyze and identify human faces correctly in a color image.
人脸检测和识别受不同环境照明的影响很大，彩色图像中人脸高光区域的自动检测和辐射校正有助于对人脸的正确分析和识别。
This paper proposes a new method of detecting and tracking video-based human faces, which includes the aspects of human face detection and object tracking.
本文提出了一种视频人脸的定位与跟踪算法，包括人脸检测和人脸跟踪两个方面。
This paper studies the human face detection by support vector classifier using histograms of color, color edge and its orientation.
研究了利用颜色直方图、颜色边缘幅值和边缘方向直方图特征，基于支撑向量分类器的检测人脸技术。
It detects directly the state of human eyes the major work includes: 1. The algorithm selection: This article compares some typical face detection algorithm.
本文的主要工作包括：1、算法分析：本文比较了一些典型的人脸检测算法。
A human face detection method based on coarse segmentation of difference image and multi-template matching is proposed.
提出了基于差影法粗分割与多模板匹配的人脸检测方法。
Face detection is to determine the size and location of a human face in an image which is being detected.
人脸检测就是判断被检图像中的人脸，并确定其大小及位置。
According to the hue, motion and geometric features of human faces, a method integrated hue analysis and motion detection was raised to remove non-face regions.
针对人脸的色度特性、运动特性和几何特性，提出了一种新的方法进行人脸检测。
For the function of autonomous patrol, we have designed the human face detection and smile recognition algorithm.
为了实现机器人自主巡逻功能，本文设计了人脸检测与笑脸识别算法。
In this paper, a human face detection method based on skin color model and structural features of face is presented.
本文提出了基于人脸肤色模型和人脸结构特征的人脸检测。
Face tracking using KLT algorithm can reduce the impact caused by the tilt of the head, only the first detection of the human eye, after all detected feature points, computing speed.
人脸跟踪使用KLT算法。能够减少人头倾斜造成的影响，只有第一次检测人眼，以后都是检测特征点，运算速度快。- Use vision。
An algorithm of static human face detection based on BP network is proposed.
提出了一种基于BP神经网络的静态人脸检测算法。
Includes a variety of environments under the code 2. Eyefinder. rar, 757kb, famous University of face detection example of the human eye inspection!
包含多种环境下的代码2。eyefinder .rar, 757kb，国外著名大学成功的人脸检测示例中的人眼检测！
Face detection is the most important aspect of facial analysis, which dealt with the problem is to identify the image (or images) in the presence of human faces, if there is to locate human faces.
用c++编写。人脸检测是人脸分析的首要环节，其处理的问题是确认图像(或影像)中是否存在人脸，如果存在则对人脸进行定位。
Face detection is the most important aspect of facial analysis, which dealt with the problem is to identify the image (or images) in the presence of human faces, if there is to locate human faces.
用c++编写。人脸检测是人脸分析的首要环节，其处理的问题是确认图像(或影像)中是否存在人脸，如果存在则对人脸进行定位。
应用推荐