提出了一种基于自适应阈值的肤色检测算法。
In this paper a new skin detection method based on adaptive thresholds is proposed.
最后采取改进的区域扩散方法进行肤色检测。
Finally, we detect skin by the improved neighborhood diffusion method.
本文提出了一种使用邻接信息的自适应肤色检测方法。
An adaptive method of skin detection using neighborhood information is proposed.
SS肤色检测模型，在功能上是色彩空间和肤色模型的结合。
RGB-SS skin detection models, as for the function, is combination of color space and complexion model.
实验表明，该方法对肤色检测具有较高的准确率和较低的误检率。
The experimental results show that it has higher accuracy and lower detection error rate.
通过实验比较，最终选择算法简单、正确率高的色度空间模型作为肤色检测模型。
Through the comparing with the experiments, the Chroma Space model was simply and had a good effect, so it was selected as the skin-color detecting model.
本文介绍了常用的三种肤色检测模型：统计颜色模型、色度空间模型和高斯混合模型。
This paper introduced three skin-color detecting model: Statistical color model, Chroma Space model and Gaussian Mixture model.
肤色检测、皮肤的纹理分析检测、目标区域的分割、图像特征的提取、分类器的设计。
The key technique include skin color detection, skin texture analysis, object area segmentation, image features extraction and the design of classifier.
因而，设计一套有效并且性能稳定的肤色检测方法成为计算机视觉领域的一大研究热点。
Therefore, it becomes a hot research area of computer vision to design an effective and stable skin detection approach.
该算法的基本思路是利用肤色检测和背景差分算法相结合的方式实现人手的定位和跟踪。
The basic idea of the algorithm is the combination of complexion detection and background difference algorithm.
根据上述的一整套方法，我们设计并实现了一个可应用于多种环境下的人体肤色检测系统。
According to the whole method mentioned above, we design and implement a human skin detection system which can be applied in varied of circumstances.
对于司机面部器官的检测，首先要确定司机的脸部，我们采用帧间差分法和肤色检测相结合的方法。
So the integrated method of differential frames arithmetic and complexion detection can make an instant and exact orientation of the driver's face.
本文先介绍了一些与课题相关的技术，主要有图象文件格式、肤色检测、纹理检测、轮廓检测和形状描述等技术。
The paper first introduces some related techniques to the research subject, such as image file format, skin color detection, skin texture detection, edge detection and shape descriptor, etc.
在皮肤检测阶段，在总结前人工作的基础上，采用了一种有效的肤色检测模型，并在此基础上利用简单统计纹理特征进行皮肤检测。
In period of skin detection, we adopted an effective skin color model by studying the former work and based on this we carried out skin detection through simple and statistical texture character.
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。
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.
提出一种综合利用肤色和唇色信息的人脸检测方法。
A face detection method combined skin and lip's color information was proposed.
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。
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.
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 for human face detection under complex background is proposed on the basis of human vision mechanism and skin color clustering features.
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。
This paper promotes a face detection algorithm combining light compensation and skin color model.
基于肤色信息和人脸面部几何特征的算法是一种快速、高效、稳定的人眼检测算法。
A quick, efficient and steady eyes detection algorithm based on skin color and geometry characteristics information is brought forward.
本文针对复杂背景下的彩色图像，提出了一种包含肤色的多特征信息优化融合的人脸检测算法。
In this paper, we present a multi-feature optimal fusion algorithm, inclusive of skin color, to detect one or multiple faces in color image with complex background.
本文提出一种新的动态图像人脸检测跟踪方法，即基于肤色和运动信息的人脸跟踪识别。
In this paper, a new approach used combination of skin color and motion information is proposed.
跟踪阶段用卡尔曼滤波器结合肤色特征跟踪人脸，如果跟踪失败，转入检测阶段。
In the tracking stage, track face using kalman filter and skin-color feature, if fail to track then turn into detecting stage.
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。
A method of face detection is proposed, which is based on the skin information and improved local binary pattern (LBP).
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。
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.
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 presents a human face detection and localization approach which is based on skin color detection and principle component analysis (PCA).
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。
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.
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。
This paper includes four aspects: image capture, image preprocessing, segmentation of face skin color and face detection.
对系统所采用的肤色分割、凸包计算、指尖检测等算法进行研究，并完成硬件设计。
Its applied algorithms such as skin color segmentation, convex hull computation, fingertip detection and etc have been investigated and the hardware has been designed.
根据特征脸思想，提出了一种新的基于特征肤色的人脸检测方法。
On the basis of eigenfaces idea, this paper proposed a new method to detect faces using eigen skin color.
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