高斯概率密度 meaning in Chinese

gaussian probability density

A systematic summary of previous work has been given first . then this paper presents a novel multi - stage face detection algorithm , which makes a good use of human face pattern ' s valuable information in colour image sequences . the difficult detection task has been divided into four steps : the preprocessing , which is to gain skin colored regions with human skin color model ; the roughly detection and face region refining by elliptic curve fitting ; the fine detection with facial features " detection and location ; the face / non - face classification step based on pca and gaussian density estimation technique
本文对彩色序列图像中的人脸检测和跟踪技术进行了深入的研究，其具体内容为：对近年来的研究工作进行了系统的介绍；提出了一个由粗到细的多阶段的人脸检测算法，该算法充分利用了序列图像中人脸模式的各种有用信息，将复杂的检测工作分为了四个部分：肤色区域分割预处理，人脸粗检及利用椭圆拟和的人脸区域提炼，应用人脸基本特征检测和定位的人脸细检， pca结合高斯概率密度估计的人脸验证。