关键词: 云计算, 人脸, 特征匹配

Abstract: In the process of matching facial images, the traditional algorithm compares each face’s features one by one. With the increase of images, the comparison time prolongs which leads to the low match efficiency. A match algorithm of mass facial feature based on cloud is proposed. First, the weighting parameters of facial features are extracted by inter-cloud network models. Then, the transformation processing of the features’ parameter matrix is conducted. Last, this matrix is applied to matching facial features. The cloud platform based on this method combines the features of the improved ASM algorithm’s early-detection model which helps match. Experimental result shows that the suggested algorithm has the advantage of less time-consuming compared with the traditional one in the match of mass facial images.

Key words: cloud computing, face, feature match