It discusses the method of detecting these points, the expression-independent vectorization of human face and also the arrangement and optimization of the facial feature database.
文章给出了这些特征点的提取方法，对与表情变化无关的人脸的矢量化方法进行了研究，并对人脸特征数据库设计和优化进行了探讨。
It is of key importance to improve the speed of facial feature match if the feature database has a large volume.
在人脸特征数据库容量较大的情况下，如何提高人脸特征匹配速度至关重要。
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。
应用推荐