H. Chen, G. Peng, Kai Chi Chang, J. Lin, Yi-Hsin Chen, Yu-Kai Lin, Chao-Yi Huang, Jong-Chen Chen
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引用次数: 3
Abstract
In recent years, with the gradual development of computer vision-related technologies, the face recognition-related technology has gradually become one of the mainstream security system options. In this study, we use MTCNN[1] for preprocessing and LRCNs[2] network structure and time-series face image data to try to solve the problem of unrecognizable user due to face blocking or face angle, when a frame is unrecognizable, we can still compare the user's characteristics with other frames and determine their identity.