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Feature reduction based on local densities for bundle adjustment of images

机译:基于局部密度的特征缩减,用于图像束调整

摘要

Methods, systems, and computer program products are provided for determining camera parameters and three dimensional locations of features from a plurality of images of a geographic area. These include, detecting features in the plurality of images where each of the images cover at least a portion of the geographic area, comparing the detected features between respective ones of the images to determine a plurality of matched features, selecting a subset of the plurality of matched features, and determining the camera parameters and the three dimensional positions of one or more of the detected features using the selected subset. The respective matched features are selected depending on a quantity of other matched features in proximity to the respective matched features.
机译:提供了用于从地理区域的多个图像确定相机参数和特征的三维位置的方法,系统和计算机程序产品。这些包括:检测多个图像中的特征,其中每个图像覆盖至少一部分地理区域;比较检测到的图像之间的特征,以确定多个匹配的特征;选择多个图像的子集。匹配的特征,并使用选定的子集确定相机参数和一个或多个检测到的特征的三维位置。根据接近各个匹配特征的其他匹配特征的数量来选择各个匹配特征。

著录项

  • 公开/公告号US9465976B1

    专利类型

  • 公开/公告日2016-10-11

    原文格式PDF

  • 申请/专利权人 GOOGLE INC.;

    申请/专利号US201514852831

  • 申请日2015-09-14

  • 分类号G06K9/00;G06T7/00;G06K9/62;G06T5/10;

  • 国家 US

  • 入库时间 2022-08-21 14:35:27

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