A new method of 3d facial feature extraction based on curvature information is proposed in this paper.
提出了一种基于曲率信息的三维人脸面部特征提取方法。
The experiment shows that using the algorithms for facial feature extraction can get good adaptability and robustness.
实验证明，该方法具有较强的鲁棒性和自适应性。
Vision interaction is one of important aspects of human-computer interaction, and the facial feature extraction is crucial to vision interaction.
视觉交互是自然人机交互的重要组成部分，而人脸特征提取则是视觉交互成功的关键。
Here, we use the singular value decomposition and principal component analysis for facial feature extraction, using the average distance category as discrimination on the basis of authentication.
其中人脸特征提取采用了奇异值分解和主分量分析法，身份验证则采用了以类内平均距离为判据的算法。
We present a fully automated algorithm for facial feature extraction and 3D face modeling from a pair of orthogonal frontal and profile view images of a person's face taken by calibrated cameras.
提出一种全自动面部特征提取算法模型和三维人脸从侧面和正面的正交的人的脸被标定相机。
At first we propose a new algorithm for face recognition. And then, we can find the advantage of using this approach in facial feature extraction through the analysis of related experiment results.
先提出一种人脸识别的算法，然后通过实验数据分析，得出这种算法更能有效提取人脸特征。
Except reviewing the research and development of the facial expression feature extraction methods, we also have described them in theory.
论文从五个方面综述了近年来面部表情特征抽取的研究进展并力争从理论上对各种方法进行分析和比较。
Precise facial feature points extraction is the key to solve these problems.
特征点精确定位是解决这些问题的关键。
The algorithms of facial expression recognition system mainly contain images' preprocessing algorithms, feature extraction algorithms and classification algorithms.
人脸表情识别系统中的算法主要有图像处理算法、特征提取算法和分类算法。
After upper facial action unit location and segmentation, we present the facial action unit feature extraction algorithm based on KPCA.
在定位分割出上半人脸运动单元子区域图像之后，提出了采用KPCA算法提取它们的特征。
A facial expression recognition system contains face detection, face feature extraction, feature selection and expression classification.
表情识别系统包括人脸检测、人脸特征提取、特征选择以及表情分类等几部分。
Image based facial feature points extraction.
基于照片的人脸特征点提取。
Robust facial expression feature extraction method is the key part of the computer aided facial expression analysis system.
面部表情特征抽取的针对性和鲁棒性在计算机辅助面部表情自动分析系统中具有举足轻重的作用。
The key algorithms of facial expression recognition are studied in this paper and we focus our attention on the research of methods for feature extraction.
本文在研究表情识别关键算法的基础上，将重点放在特征提取方法的研究。
Numerical experiments on ORL facial database and man-made datasets show ILDA achieves good performance in feature extraction.
若干标准人脸数据集和人工数据集上的实验表明ILDA在特征提取方面的有效性。
Numerical experiments on ORL facial database and man-made datasets show ILDA achieves good performance in feature extraction.
若干标准人脸数据集和人工数据集上的实验表明ILDA在特征提取方面的有效性。
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