- 专利标题： Systems and methods for generating 3D models from drone imaging
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申请号： US17838082申请日： 2022-06-10
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公开(公告)号： US12080024B2公开(公告)日： 2024-09-03
- 发明人: Matthew Laurence Arksey , Deon Blaauw , Lucas Thomas Hahn , John Gordon McQueen , Satoshi Nakajima , Guy David Byron Shefner , Richard Chia Tsing Tong
- 申请人： NETDRONES, INC.
- 申请人地址： US WA Kirkland
- 专利权人： NETDRONES, INC.
- 当前专利权人： NETDRONES, INC.
- 当前专利权人地址： US WA Kirkland
- 代理机构： MORRISON & FOERSTER LLP
- 主分类号： G06T7/73
- IPC分类号： G06T7/73 ; B64C39/02 ; G01C15/00 ; G05D1/00 ; G06N20/00 ; G06T17/10 ; G06V20/17 ; G08G5/00 ; H04B7/185 ; H04B17/318 ; H04W4/02 ; H04W4/40 ; H04W24/08 ; H04W28/24 ; H04W64/00 ; B64U10/13 ; B64U80/86 ; B64U101/20 ; B64U101/30 ; H04W84/04 ; H04W84/12
摘要：
A method comprising receiving a plurality of images of a scene captured by at least one drone; identifying features within the plurality of images; identifying similar images of the plurality of images based on the features identified within the plurality of images; comparing the similar images based on the features identified within the similar images to determine a proportion of features shared by the similar images; selecting a subset of the plurality of images that have a proportion of shared features that meets a predetermined range; generating a first 3D model of the scene from the subset of images using a first 3D model building algorithm; generating a second 3D model of the scene from the subset of images using a second 3D model building algorithm; computing errors for the first and second 3D models; and selecting as the model of the scene the first or second 3D model.
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