Taking into account of the weakness of a single face detection method based on multiple templates matching, an improved face detection method is presented.
针对一种基于多模板匹配的单人脸检测方法的不足，提出了一种改进的人脸检测方法。
Relying on the analysis of existed face detection techniques, this paper mainly describes face detection based on rectangle feature and dynamic face detection combined with motion information.
本文在总结和分析现有人脸检测技术的基础上，重点研究了基于矩形特征的人脸检测技术及以此为基础并结合运动信息的动态人脸检测技术。
This paper will analyze the primary problem and method of face detection, which based on two primary face detection patterns, and make a comparison between these methods.
本文将从人脸检测方法的两个主要模式出发，分析了当前人脸检测的主要问题和方法，并对这些方法进行比较。
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。
A novel algorithm of face detection based on mask transform and template match makes face detection more accurate and faster in different face sizes with complex condition.
使用一种新的假面变换和模板匹配的人脸检测算法，能够对复杂环境中大小不等的人脸进行快速、准确的检测。
Referring to the limitation of driver face detection algorithm based on single feature in detection precision and reliability, a novel fusion algorithm of driver face detection is proposed.
针对基于单一特征驾驶员脸部检测算法在检测精度和可靠性方面的局限性，提出了一种新颖的驾驶员脸部检测融合算法。
According to analysing the human face and converting face detection in complex background into facial detection, a face detection model is built with facial feature being detective feature.
基于面向人脸的分析，按照将复杂背景中的人脸检测转化为对五官检测的思想，建立了以五官结构为检测特征的人脸检测模型。
In addition, a video face detection is implemented to extend the proposed face detection algorithms from still images to moving videos.
本文最后还实现了一个视频人脸检测系统，将人脸检测从静态图片推广到视频的动态检测。
In face detection part, this article brings forward a quick, efficient and steady face detection algorithm based on skin color and geometry characteristics information.
人脸检测部分基于人脸肤色信息和几何特征信息提出了一种快速、稳定的人脸检测算法。
To accelerate the speed of face detection and get low false alarm rate, an approach of knowledge-based face detection is proposed.
为了获得具有较高检测率并保持较低误检率的快速人脸检测，提出了一种基于知识的人脸检测方法。
For improving the speed of face detection, face detection is combined with face tracking.
为提高人脸检测的速度，结合人脸跟踪对人脸进行检测。
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。
Firstly this paper introduces the face detection technology research background and significance, and the current number of commonly used face detection algorithm.
本文首先介绍了人脸检测技术的研究背景和意义，以及目前比较常用的一些人脸检测算法。
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。
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。
Results show that, for colored acquisition of single positive images, the face detection system achieved more than 90% of the testing accuracy, meets the requirement of real-time face detection.
实验结果表明，对于采集的彩色单个正面人脸图像，人脸检测系统能够达到90%以上的检测正确率，满足实时人脸检测的要求。
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。
In this thesis, I present a novel face detection framework based on a face detection algorithm merged with some advanced algorithms.
本文首先在对人脸检测、人脸面部特征定位技术的相关文献进行综述的基础上，提出了人脸检测技术融合算法。
Face detection classic Haar face detection.
人脸检测领域经典的Haar人脸检测。
Face detection classic Haar face detection.
人脸检测领域经典的Haar人脸检测。
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