Invention Grant
US08965107B1 Feature reduction based on local densities for bundle adjustment of images
有权
基于图像束捆绑调整的局部密度降低特征
- Patent Title: Feature reduction based on local densities for bundle adjustment of images
- Patent Title (中): 基于图像束捆绑调整的局部密度降低特征
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Application No.: US13475710Application Date: 2012-05-18
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Publication No.: US08965107B1Publication Date: 2015-02-24
- Inventor: Joshua Sam Schpok , Michael Hongmai Lin , Tilman Reinhardt
- Applicant: Joshua Sam Schpok , Michael Hongmai Lin , Tilman Reinhardt
- Applicant Address: US CA Mountain View
- Assignee: Google Inc.
- Current Assignee: Google Inc.
- Current Assignee Address: US CA Mountain View
- Agency: Dority & Manning P.A.
- Main IPC: G06K9/46
- IPC: G06K9/46 ; G06T7/00

Abstract:
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.
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