The lvps , as the pattern of local face region , are learnt by clustering a great number of local patches . visually , these lvps correspond to intuitive low - level micro visual structures very well , and they are expected to constitute those high - level semantic features , such as eyes , nose and mouth . we show that only by hundreds of these lvps can we reconstruct the high - dimensional face images ( original dimension is 56x63 ) very effectively 该方法通过对密集采样的局部图像模式进行聚类来获得能够反映人脸局部变化模式的视觉基元,这些基元在视觉效果上与图像微视觉结构非常吻合,可以用于组合高层的语义特征(如眼睛,鼻子,嘴等) ,实验结果表明使用数百个lvps就可以很好的重建高维灰度人脸图像(原始维数为56x63 ) 。