Shielded face detection method based on tensor completion

The invention discloses a shielded face detection method based on tensor completion.The data features of a face image sequence are extracted by employing a 3D CNN, so that the time sequence features in the face image sequence aresupplemented while the features of a single-frame face image are obtained, the richness of the features of the face image is improved, and the method plays an important role in improving the accuracy of a face detection result. Tensor completion is utilized to supplement the preliminarily extracted face image sequence data features, so that the adverse effects of face shielding and the like on the face detection result can be reduced, and the shielded face detection result is improved. 本发明公开了一种基于张量补全的有遮挡人脸检测方法，通过利用3D CNN提取人脸图像序列数据特征，在获取单帧人脸图像特征的同时，亦补充了人脸图像序列中的时序特征，提升了人脸图像特征的丰富性，对人脸检测结果准确度的提升有重要作用。利用张量补全对初步提取的人脸图像序列数据特征进行补充，能够降低面部遮挡等对人脸检测结果造成的不利影响，提升有遮挡的人脸检测结果。