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。
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。
This paper presents a human face detection and localization approach which is based on skin color detection and principle component analysis (PCA).
提出一种基于人脸肤色统计模型和主元分析(pca)的人脸检测和定位方法。
Based on facial features extraction and verification, we present a new human face detection method.
提出了一种基于特征提取和验证相结合的人脸检测方法。
After comparing and analyzing existing face detection methods based on complexion, a skin model used to detect human faces in this thesis, Gaussian distribution model is proposed.
研究了常见的基于肤色的人脸检测算法并分析比较其优缺点，给出本文利用肤色特征进行肤色检测时所采用的肤色模型——高斯分布模型。
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。
In this paper, a fast human face detection method based on difference image and multi-templates matching is proposed.
提出了一种用差影法与多模板匹配快速实现人脸检测的方法。
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。
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。
A novel human face detection method is introduced, which is based on chrominance colour information feature from an image containing one face in indoor environment with non-uniform background.
介绍了一种新颖的人脸检测方法，该方法基于非统一背景下室内环境中单幅人脸图像的色度特征信息。
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。
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。
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。
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。
In this paper, we provide a new human face detection algorithm based on template-matching, Mosaic image and Support Vector Machines.
本文提出了一种基于模板匹配、马赛克图和支持向量机的人脸检测算法。
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。
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。
Two key techniques accounts the most for a human-face recognition system: one is face detection and orientation; the other is feature abstraction and recognition from unified human-face image.
人脸识别系统主要包括两个技术环节：首先是人脸检测和定位，然后是对归一化的人脸图像进行特征提取与识别。
At the same time, since the human face detection can be greatly influenced by background, light, gesture, expression, occlusion, noise and so on, it also became a much complicated topic.
同时，由于人脸检测受背景、光照、姿态、表情、遮挡、噪声等影响较大，也成为一个较为复杂的课题。
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！
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！
应用推荐