Face recognition method based on robust adaptive graph structure learning algorithm

• Main Authors: GUO WEI, PENG YUHAN, ZHOU WEI, YI YUGEN, GONG ZHAOXUAN
• Format: Patent
• Language: Chinese; English
• Published: 31.08.2021
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS

The invention discloses a face recognition method based on a robust adaptive graph structure learning algorithm. The robust adaptive graph structure learning algorithm is applied to a face recognition task, and the robust adaptive graph structure learning algorithm is different from an existing graph learning method, global structure information and local structure information of data are mined by utilizing a self-representation and self-adaptive neighbor method. Meanwhile, in order to reduce the influence of noise points on a graph structure, the robustness of the algorithm to noise is improved by introducing manifold constraints based on l2,1 norms, so that the purpose of robust graph construction is achieved. According to the method, local structure information and global structure information of data are fully mined, and the effectiveness of a graph structure is improved; meanwhile, manifold constraints based on l2,1 norms are introduced into the graph learning process, the robustness of graph learning is