For those standard face images, regarding the between class scatter matrix as generating matrix, it extracts the algebraic features of face images through K L transform.
该方法对于经过预处理的标准人脸图像，以类间散布矩阵为产生矩阵，通过K-L变换降维并提取人脸图像的代数特征。
参考来源 - 基于K·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
First, an uncorrelated projection space is constructed based on the total population scatter matrix.
首先根据总体散布矩阵构造无相关投影空间。
First, by redefining the within class scatter matrix and the between class scatter matrix, a new null space method was presented.
首先，通过重新定义样本的类内散布矩阵和类间散布矩阵，提出了一种新的零空间法。
Then, an image scatter matrix is constructed using the reshaped image matrixes and its eigenvectors are derived for image feature extraction.
该方法先将图像矩阵进行重组，根据重组的图像矩阵构造出总体散布矩阵，然后求出最佳投影向量进行特征提取。
应用推荐