A Face Image Database for Evaluating Out-of-Focus Blur

The face image database is essential to evaluate the face detection and recognition algorithms. Out-of-focus blur is one of the important factors which may influence the detection and recognition results. To investigate the effect of out-of-focus blur on the performance of face recognition system, a new face database concentrating on the factor of out-of-focus blur was built. Two typical acquisition facilities - PC camera and professional digital camera - were used. The whole focus range was divided into 11 intervals. 628 images were gathered with similar pose and expression, but with strictly controlled different definitions. The features and building process of the database are presented in this paper. Then evaluation of the blur assessment algorithms are raised. A suggestion of the usage of the blur assessment algorithms is proposed.