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SYSTEMS AND METHODS FOR TARGET REGION EVALUATION AND FEATURE POINT EVALUATION

机译:目标区域评估和特征点评估的系统和方法

摘要

Systems and methods for target region evaluation and feature point evaluation are provided. The methods may include obtaining an image including a target region and extracting a plurality of feature points associated with the target region. The methods may further include, for each of the plurality of feature points, determining a sub-region including the feature point. The methods may further include performing a first grouping operation on the plurality of feature points to generate a plurality of first groups of sub-regions according to a first rule, and determining, based on the plurality of first groups of sub-regions, a confidence level associated with the target region using a plurality of trained models for processing the plurality of first groups of sub-regions, respectively. Each of the plurality of trained models may be associated with a set of model parameters. At least two sets of model parameters may be different.
机译:提供了针对目标区域评估和特征点评估的系统和方法。 该方法可以包括获得包括目标区域的图像并提取与目标区域相关联的多个特征点。 该方法可以进一步包括用于多个特征点中的每一个,确定包括特征点的子区域。 该方法还可以包括在多个特征点上执行第一分组操作,以根据第一规则生成多个第一子区域,并基于多个子区域确定置信度 使用多个培训的模型与目标区域相关联的电平,用于分别处理多个第一组子区域。 多个训练模型中的每一个可以与一组模型参数相关联。 至少两组模型参数可能是不同的。

著录项

  • 公开/公告号US2021319254A1

    专利类型

  • 公开/公告日2021-10-14

    原文格式PDF

  • 申请/专利权人 ZHEJIANG DAHUA TECHNOLOGY CO. LTD.;

    申请/专利号US202117304755

  • 发明设计人 XUFENG YU;

    申请日2021-06-25

  • 分类号G06K9/46;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-24 21:40:27

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