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Method and system for improving multi-angle face recognition accuracy

机译:提高多角度面识别精度的方法和系统

摘要

The present application proposes a method and system for improving the multi-angle face recognition accuracy, comprising: performing image collection on the face from N preset collection positions, and obtaining N face comparison images; respectively extracting the background parameters of the N face comparison images, comparing the background parameters with the M preset background parameter intervals, and respectively storing the N face comparison images into the corresponding face comparison image set of the M preset background parameter intervals according to the comparison resu collecting a real-time image of the target face; extracting target background parameters in the real-time image of the target face, comparing the target background parameter with the M preset background parameter intervals, and performing face recognization comparison on the real-time image of the target face corresponding to the target background parameter and the face comparison image in the face comparison image set corresponding to the M background parameter intervals according to the comparison result, then outputting face comparison recognition result.
机译:本申请提出了一种用于提高多角度面识别精度的方法和系统,包括:在从N预设收集位置执行图像收集,并获得N面比较图像;分别提取N面比较图像的后台参数,将背景参数与M预设背景参数间隔进行比较,并分别将N面比较图像存储到M预设背景参数间隔的相应面部比较图像集中的相应面部比较图像集。结果;收集目标面的实时图像;在目标面的实时图像中提取目标背景参数,将目标背景参数与M预设背景参数间隔进行比较,并且对对应于目标背景参数的目标面的实时图像执行面部识别比较面部比较图像在面部比较图像集中对应于M背景参数间隔根据比较结果,然后输出面部比较识别结果。

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