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Method and apparatus for managing a smart database for face recognition based on continuous learning

机译:基于连续学习的用于面部识别的智能数据库的管理方法和装置

摘要

PROBLEM TO BE SOLVED: To effectively manage a smart database in which new face images are continuously added. SOLUTION: One or more specific face images corresponding to at least one specific person stored in a smart database in which new face images for face recognition are continuously stored are counted and counted. The step of confirming that the preset value satisfies the preset first preset value and the first counted preset value satisfies the preset first value, each specific face image is input to the neural aggregation network, and each specific facial image is input. Quality scores for each face image are generated, the quality scores are arranged in descending order, and the second counted value representing the number of counted parts of each specific face image is the same as the preset second set value. Counting each specific face image in descending order until, and deleting the uncounted portion of each specific face image from the smart database. [Selection diagram] Figure 2
机译:要解决的问题:有效管理不断添加新的面部图像的智能数据库。解决方案:计算并计数与存储在智能数据库中的至少一个特定人相对应的一个或多个特定面部图像,在该数据库中连续存储用于面部识别的新面部图像。确认预设值满足预设的第一预设值并且第一计数的预设值满足预设的第一值的步骤,将每个特定面部图像输入到神经聚合网络,并且输入每个特定面部图像。产生每个面部图像的质量得分,质量得分以降序排列,并且代表每个特定面部图像的计数部分的数量的第二计数值与预设的第二设定值相同。以降序计数每个特定面部图像,直到从智能数据库中删除每个特定面部图像的未计数部分。 [选择图]图2

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