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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:提供了用于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;以及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,对于多个特征点中的每一个,确定包括特征点的子区域。该方法可以进一步包括:根据第一规则,对多个特征点执行第一分组操作,以生成多个第一子区域组;以及基于多个第一子区域组,确定置信度。使用用于分别处理多个第一组子区域的多个训练模型来与目标区域相关联的级别。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以不同。

著录项

  • 公开/公告号WO2020133072A1

    专利类型

  • 公开/公告日2020-07-02

    原文格式PDF

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

    申请/专利号WO2018CN124372

  • 发明设计人 YU XUFENG;

    申请日2018-12-27

  • 分类号G06K9;

  • 国家 WO

  • 入库时间 2022-08-21 11:10:29

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