1) self-skin segmentation
自肤色分割
1.
At first,this paper presents a method of self-skin segmentation based on Hsu R L s skin color model,to detect human skin in color image correct.
该方法首先在Hsu提出的肤色模型基础上,采样一种自肤色分割算法来提取复杂背景下人脸的肤色特征,与传统的采用固定肤色模型的检测算法相比,该方法具有更好的检测效果;然后,在人脸跟踪过程中采用Condensation滤波跟踪算法,并对算法做了两点改进,即在跟踪过程中采用基于M etropolis算法的重采样方法以及自适应的动态模型,实现了复杂背景下的人脸自由运动的跟踪,并从各种影片中截取了彩色视频序列图像进行了测试实验。
2) skin color segmentation
肤色分割
1.
Localization of human face based on skin module and skin color segmentation;
肤色建模和肤色分割的人脸定位研究
2.
Driver's face detection based on Adaboost and skin color segmentation
基于Adaboost与肤色分割融合的驾驶员图像脸部检测
3.
In this paper,a face detection algorithm based on skin color segmentation,template matching and geometric rule conformation is presented.
提出一种以动态视频流彩色图像为研究对象,基于肤色分割、模板匹配与几何规则确认的人脸检测方法。
4) skin segmentation
肤色分割
1.
Then,the skin segmentation algorithm is used to remove the nonskin color parts in the motion area.
接着用分段的方法对运动区域进行肤色分割,排除非皮肤部分。
2.
Compared to many face detection methods,this paper proposed an improved face detection approach,which is based on the Adaboost algorithm and skin segmentation.
该算法的核心是肤色分割结合基于Adaboost算法的人脸检测。
3.
This paper advances a kind of method for the human face detection based on the skin segmentation and ellipse matching in a colorful picture,and the result shows that this method has certain practicability.
提出了一种在彩色图像中基于肤色分割和椭圆匹配的人脸检测方法,结果显示该方法具有一定的实用性。
5) Complexion Segmentation
肤色分割
1.
The method of combine complexion segmentation with template matching is proposed,and detection and localization of human face in the case of wearing glasses are realized through improved connected region division algorithm.
方法结合肤色分割、模板匹配,改进连通区域划分算法实现对戴眼镜人脸的检测与定位。
6) skin segment
皮肤分割
补充资料:自调自净自度
【自调自净自度】
(术语)同自调项。
(术语)同自调项。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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