NON-NEGATIVE FEATURE EXTRACTION AND FACIAL RECOGNITION APPLICATION METHOD, SYSTEM, AND STORAGE MEDIUM

摘要

The invention provides a construction method for non-negative feature extraction and face recognition application, which comprises the following steps: characterizing loss degree by cosine measure; characterizing loss degree after matrix decomposition by cosine measure between matrices; and determining loss degree by cosine measure between matrices. A method for constructing an objective functioncomprises that step of characterizing a loss degree by a cosine measure to form an objective function; obtaining an update iteration formula: the objective function is transformed to form the optimization problem to be solved, and the updated iterative formula of the algorithm is obtained by constructing auxiliary function. The invention has the advantages that: 1. the illumination problem encountered in the face recognition process is solved; 2. the convergence of the algorithm proposed by the invention is not only proved in theory by using auxiliary function, but also verified in experiment,and our algorithm has higher convergence; 3. compared with the related algorithm in the face database with illumination influence, the result shows that the algorithm of the invention has certain superiority.