1. A multi-view face recognition method comprising: inputting two images to be recognized; calculating a linear projection matrix based on grouped images in a training set, wherein the calculating of the linear projection matrix comprises: grouping images for each person in the training set based on a similarity between the images for each person in the training set; calculating a general within-class scatter matrix for the grouped training set by calculating a within-class scatter matrix for each group of a same person in the training set, adding the within-class scatter matrixes of the groups of the same person, dividing a sum of the within-class scatter matrixes by the number of groups of the same person to obtain a within-class scatter matrix of each person, and dividing a sum resulting from the addition of the within-class scatter matrixes by the number of persons in the training set to obtain the general within-class scatter matrix; calculating a general between-class scatter matrix for the grouped training set; and calculating the linear projection matrix based on the general within-class scatter matrix and the general between-class scatter matrix; extracting two feature vectors corresponding to the two input images based on the linear projection matrix; calculating a distance between the two extracted feature vectors; and determining whether the two input images belong to a same person, based on the distance between the two feature vectors.