Based on the model of color image, color face image was recognized as a template for processing, and singular value vector was firstly applied to color face recognition.
基于彩色图像的四元数模型，将彩色人脸图像视为一个模板直接处理，并首次将奇异值向量应用到彩色人脸识别中。
By this concept and together with HSV color model, we can successfully segment the face image.
针对这点，本文提出肤色平滑度的概念，并利用这一概念和HSV颜色模型对图像进行分割。
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。
Firstly, the tracking window based on face region was initialized in detecting process. Then, color hue information model was established to track the follow-up frame.
利用检测过程中人脸区域初始化跟踪窗口，建立肤色的色调信息模型对后续帧进行跟踪。
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。
Th paper presents a new real-time face tracking method based on a mixed skin-color model.
提出一种基于混合肤色模型的实时人脸跟踪方法。
We explore the clustering characteristics on xanthous face, and point out that HSV color model can be well used to express the clustering characteristics of xanthous faces.
通过对S色彩分量空间的阈值分割，利用分割后的图像特点与标准脸的投影进行比对，实现对检测到的人脸进行认证。
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。
The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter.
以人脸肤色模型为基础，结合目标形状特征识别方法，并用扩展卡尔曼滤波估计目标运动轨迹，实现基于肤色的人脸实时跟踪鲁棒方法。
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。
I like the sharpness of the color and the light and shadow on the face of the model.
我喜欢这种锐利的颜色和光线及光影效果。
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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