提出了一种基于曲率信息的三维人脸面部特征提取方法。
A new method of 3d facial feature extraction based on curvature information is proposed in this paper.
人脸面部特征提取是自动视觉翻译和人脸识别中的最关键的技术之一。
Facial features extraction is one of the essential techniques in automated visual interpretation and recognition of human faces.
提出了一种改进的主动形状模型，并将其用于人脸面部特征定位的研究。
An improvement ASM is proposed and this model is applied to facial feature localization.
文中提出了利用人脸面部几何特征地理区域分布的差异性进行人脸识别的新方法。
In this paper a new method about face recognition is presented based on the regional distribution of facial geometric feature in China.
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.
所述系统包括：检测运动模块、有效人脸面部运动判断模块和生理性运动判断模块。
The system comprises a motion detection module, a valid-face-motion judgment module and a physiological motion judgment module.
为了从视频流中提取基于人脸面部特征的运动数据，本文研究了人脸多特征跟踪算法。
Second, in order to extract motion data of each facial part from a video stream, this dissertation studies multiple facial feature tracking algorithms.
近年来，以人脸面部为处理对象的研究已成为计算机图形图像处理技术中的一项热门课题。
In recent years, human face has already become an important research object in the field of computer graphics and image processing.
本文工作包括：侧面人脸的检测与定位，侧面人脸面部特征的定位与提取和侧面人脸的识别等内容。
The main work in this paper include: side face image detection, side face feature extraction and side face recognition and so on.
论文的创新性成果包括：1。提出了一种改进的主动形状模型，并将其用于人脸面部特征定位的研究。
The innovative achievements of the thesis include:1. An improvement ASM is proposed and this model is applied to facial feature localization.
主动外观模型是进行人脸面部特征定位和人脸识别的有效方法，近年来已成为图像处理等领域的研究热点。
Active Appearance Models (AAMs) is an effective method of facial recognition and facial feature location, and has become a research hotspot in image processing areas.
根据动态模板匹配理论，提出了提取人脸面部特征的系列算法，特征是精确的轮廓描述而非简单的数字表达。
Facial features extraction algorithms presented are based on deformable template model. In this paper, facial features are described accurately about contour but not express simply with data.
本文首先在对人脸检测、人脸面部特征定位技术的相关文献进行综述的基础上，提出了人脸检测技术融合算法。
In this thesis, I present a novel face detection framework based on a face detection algorithm merged with some advanced algorithms.
人脸面部的关键特征点定位既是人脸识别研究领域中的一个关键问题，也是计算机视觉和图形学领域的一个基本问题。
Facial feature point location is one of the fundamental and crucial problems in the field of facial recognition, computer vision and graphics.
在人脸检测的基础上，面部关键的特征点定位试图定位人脸面部主要特征点的位置以及眼睛和嘴巴等主要器官的形状信息。
It aims to locate the facial feature points and the shape information of eyes, mouth and so on based on the facial detect.
本文采用该算法训练人脸面部特征检测器，提取区域的几何中心进行面部特征点定位，获取以双眼和嘴巴为特征顶点的人脸特征三角形。
The thesis uses the method to train face feature classifier, to get the face feature points and build face feature triangle that uses eyes and mouth as vertexes.
本文采用该算法训练人脸面部特征检测器，提取区域的几何中心进行面部特征点定位，获取以双眼和嘴巴为特征顶点的人脸特征三角形。
The thesis uses the method to train face feature classifier, to get the face feature points and build face feature triangle that uses eyes and mouth as vertexes.
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