Low-Resolution Face Recognition Method Based on Sparse Representation of Subparts and Compressed Dictionary
A technology of sparse representation and compressed dictionary, applied in the field of low-resolution face recognition, which can solve problems such as limited posture judgment methods
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[0100] The present invention is verified on the COX database. The COX data set is a relatively large-scale face recognition data set. It has 3000 sections of video of 1000 people and one high-definition face image for each person, and three sections of video for each person. Shot by three different cameras, the three videos form a set of experiments with each other. People move in different routes in front of the camera. In addition to the movement of the person itself, there are changes in posture, expression, illumination, and occlusion within and between the three videos. In addition, the video itself is low-resolution, which adds difficulties to recognition. The data set divides 300 people as the training set and 700 people as the test set for the experimenters. Such as figure 2 Shown is a schematic diagram of the division method. The sparse representation method used in the present invention has no training process shown, so 700 people are directly used for testing. ...
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