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METHOD AND DEVICE FOR MANAGING SMART DATABASE FOR FACE RECOGNITION BASED ON CONTINUAL LEARNING

机译:基于持续学习的面部识别管理智能数据库的方法和装置

摘要

The present invention provides a method for managing a smart database for storing face images for face recognition, wherein (a) a management device stores at least one specific person stored in a smart database in which new face images for face recognition are continuously stored. counting the corresponding one or more specific face images, and confirming whether a first counted value counting the specific face images satisfies a first preset value; and (b) when the first counted value satisfies the first set value, the management device inputs the specific face images to a neural aggregation network to cause the neural aggregation network to aggregating specific face images to generate quality scores for each of the specific face images, sorting the quality scores corresponding to the specific face images in descending order of the quality scores, and the specific face images The classified specific face images are counted in descending order until a second counted value indicating the number of counted parts among them becomes the same as a second preset value, and counting among the specific face images from the smart database It relates to a method comprising the; step of deleting the part that is not.
机译:本发明提供了一种用于管理用于存储面部识别的面部图像的智能数据库的方法,其中(a)管理设备存储存储在智能数据库中的至少一个特定人员,其中连续存储用于面部识别的新面部图像。计数相应的一个或多个特定面部图像,并确认计数特定面部图像的第一计数值是否满足第一预设值; (b)当第一计数值满足第一设定值时,管理设备将特定的面部图像输入到神经聚合网络,使神经聚合网络聚合特定的面部图像以为每个特定的面部图像生成质量分数,以质量分数的降序排序对应于特定面部图像的质量分数,以及特定的特定面部图像的特定面部图像以降序计数,直到指示它们中的计数部分的数量的第二计数值变得相同作为第二预设值,并且从智能数据库中的特定面部图像之间计数,它涉及包含该方法的方法;删除不是的部分的步骤。

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