查询结果： 周孝佳，朱允斌，张跃．基于分块的有遮挡人脸识别算法[J]．计算机应用与软件，2018，35(2)：183 - 187,193．
THE ALGORITHM OF FACE RECOGNITION WITH OCCLUSION BASED ON PARTITION
复旦大学计算机科学技术学院 上海 201210 上海视频技术与系统工程研究中心 上海 201210 华为软件技术有限公司 江苏 南京 210012
School of Computer Science, Fudan University, Shanghai 201210, China Shanghai Engineering Research Center for Video Technology and System, Shanghai 201210, China Huawei Software Technology Co., Ltd., Nanjing 210012, Jiangsu, China
With the development of deep learning technology, the accuracy of face recognition in controlled environments has achieved very good results. However, face images acquired in real environment are often difficult to identify due to occlusion. Aiming at the problem of low accuracy and poor stability of face recognition under occlusion condition, an algorithm of face recognition with occlusion based on partition were proposed combining with traditional face segmentation and depth convolution neural network. Firstly, face segmentation was done based on the result of face feature point location. An improved lightweight convolution neural network was used to extract the feature of each face. Then the multi-classification network combined the additional information of the input block to distinguish the occlusion discrimination of the face block. In the end, the characterization of occlusion of human face was obtained by combining the results of human face block and occlusion dichotomy. The experimental results showed that the features extracted from the above steps were robust to occlusion, and the accuracy of 94% could be maintained on the experimental dataset even if the face was covered by a large area under certain conditions.