This paper analyzes the feature of 3D face recognition,and presents a 3D face recognition algorithm based on 2D Gabor wavelet feature.
分析三维人脸识别技术,提出一种基于Gabor小波特征的三维人脸识别算法。
参考来源 - 基于二维Gabor小波特征的三维人脸识别算法 in C·2,447,543篇论文数据，部分数据来源于NoteExpress
Finally, nine kinds of natural images are classified successfully based on wavelet feature using BP neural network.
文章最后结合九类自然纹理图像，分别基于标准子波特征、子波包特征用BP神经网络进行了分类识别。
Grid feature vector, belonging to the wavelet decomposition sub graph which got by character image wavelet transform, is used to construct character wavelet feature vector.
通过对字符图像的小波分解子图求取网格特征向量，构造出字符的小波特征向量。
This paper mainly make research on classify methods based on statistical theory, support vector machine (SVM), and feature extraction method-wavelet transform, and using them in human face detection.
本文主要研究目前较为流行的基于统计学习理论的分类方法——支持向量机方法(SVM)，以及小波变换提取特征的方法，将其用于人脸检测。
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