A face detection method combined skin and lip's color information was proposed.
提出一种综合利用肤色和唇色信息的人脸检测方法。
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。
Some key techniques are included, such as skin detection, face detection, object area segmentation, image features extraction, the design of classifier and the implement of filter based on browser.
本文采用的技术包括：皮肤检测、人脸检测、目标区域分割、敏感图像特征提取、分类器设计及过滤器在浏览器上的实现等。
Face Detection automatically detects a face in the frame and adjusts focus, exposure, contrast, and skin complexion on it so it always turns out beautifully.
人脸检测自动检测框架脸和调整焦距，曝光，对比度，肤色和皮肤上，所以看起来，往往都是美丽的。
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。
A method of face detection is proposed, which is based on the skin information and improved local binary pattern (LBP).
提出了一种基于肤色信息与改进的局部二值模式(LBP)算法的人脸检测方法。
This paper promotes a face detection algorithm combining light compensation and skin color model.
本文提出了一种将光线补偿和肤色模型相结合的人脸检测算法。
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。
The mix of these two methods is the base of high rate of skin color based face detection.
两种方法的融入为基于肤色的人脸高检测率的获得提供了保障。
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。
This paper includes four aspects: image capture, image preprocessing, segmentation of face skin color and face detection.
论文包括四方面的内容：源图像的采集、图像预处理、人脸肤色分割、人脸检测。
The method of face detection is establishment of skin color model and computation of similarity graph, then classify by threshold segmentation.
脸部位置的检测定位主要建立肤色模型以及计算肤色相似度图，通过阈值分割方法进行分类和定位。
A method for the face detection based on skin color model and eye location is proposed.
提出了一种基于肤色模型与眼睛定位的人脸检测方法。
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。
It mainly consists of two parts: image segmenting and distill preprocessing based on skin color and frontal face detection verifying.
它包含基于肤色信息的图像分割预处理和正面人脸识别验证两个主要模块。
An effective and fast method of face detection for a service robot is proposed, which combines a mixture of Gaussian distribution model of skin tone color with eyes features.
由于室内存在多种物体，背景不断变化，且光照条件可能不断变化，提出采用人脸肤色的标准混合高斯模型与人眼特征相结合的人脸检测法，无需对原始图像进行尺度变换。
An effective and fast method of face detection for a service robot is proposed, which combines a mixture of Gaussian distribution model of skin tone color with eyes features.
由于室内存在多种物体，背景不断变化，且光照条件可能不断变化，提出采用人脸肤色的标准混合高斯模型与人眼特征相结合的人脸检测法，无需对原始图像进行尺度变换。
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