作者: Wu Zhuoran , Chen Yongkang , Zhang Jian , Hou Zhenjie , Chen Chen
DOI:
关键词: Three-dimensional face recognition 、 Field (computer science) 、 Finance 、 Autoencoder 、 Artificial intelligence 、 Facial recognition system 、 Process (computing) 、 Computer science 、 Algorithm 、 Deep learning 、 Structure (mathematical logic) 、 Face (geometry)
摘要: The invention provides a three-dimensional face recognition algorithm based on deep learning SDAE theory. procedure for constructing model the theory includes steps of model, normalizing depth data, an integral structure (architecture) network through allowing Auto Encoder to perform pre-training without supervision, performing fine tuning process with classifying and predicting results (face recognition). According algorithm, is applied processing novel by combining information provided, problem prior art avoided, high rate acquired. On basis, further application in field finance.