This paper presents a new human skin color model using BP networks.
提出了一种使用BP人工神经网络建立的人体肤色模型。
Clothing colorific whole beauty is one of important factors, human skin color with tacit cooperation.
服装色彩整体美的重要因素之一，是人体肤色与服装色彩的默契配合。
Human bodies are different sizes, shapes, and skin color.
人类身体的大小、形状和皮肤颜色是不同的。
Scientists focused on the pigment melanin, which gives human skin its color.
科学家们集中于研究黑色素，就是他们使人类的皮肤具有颜色。
One of the most visible human adaptations is that of skin color.
人类适应自然最明显要算肤色。
Human populations differ in their skin color, eye color and shape, hair color and other physical characteristics.
人类在肤色、眼睛颜色和形状、发色与其它身板特征方面存在差异。
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。
On the basis of eigenfaces idea, this paper proposed a new concept as eigen skin-color, and proposed a new method to detect human faces using eigen skin-color.
本文根据特征脸方法的思想，提出了特征肤色的新概念，进而提出了一种新的基于特征肤色的人脸检测方法。
The eigen skin-color method is for the color images. For gray images, this paper USES face recognition method based on hidden Markov models to detect human faces.
特征肤色的方法是针对彩色图像的人脸检测方法，针对灰度图像本文采用基于隐马尔可夫模型的人脸识别方法来检测人脸。
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。
Since a human face has the similar skin color distribution with the human body, we can use the skin pixels in a detected face to build the skin color model of human body dynamically by GMM.
利用人脸检测结果，结合混合高斯模型，以人脸肤色为样本在线建立了具有针对性的人体肤色模型。
It is also a practical method to detect the motion human face in digital videos combined with the motion information, gray level information and skin color information.
同时，也是一种充分利用了视频图像运动信息和人脸肤色信息进行运动人脸检测的实用方法。
Designed a color-based skin classifier to segment human skin regions from non-skin regions.
设计了基于颜色的皮肤分类器对图像中的皮肤区域和非皮肤区域进行分割；
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。
Firstly, according to the clustering character of skin color, the human hand is segmented via building the skin color model by analyzing the characters of common color Spaces.
首先，根据肤色的聚类特征，在对比分析常用彩色空间特性的基础上建立肤色模型，对人手进行分割。
Skin color is a very important biological feature of the human body.
肤色是人体的一个非常重要的生物特征。
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。
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。
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