NDLI: RESECTION AND MONTE CARLO COVARIANCE FROM VANISHING POINTS FOR IMAGES OF UNKNOWN ORIGIN

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RESECTION AND MONTE CARLO COVARIANCE FROM VANISHING POINTS FOR IMAGES OF UNKNOWN ORIGIN

Content Provider	Scilit
Author	Settergren, R.
Copyright Year	2020
Description	Photogrammetric analysis requires camera metadata (position, attitude, interior orientation, etc.), which is not available for all images. Modern commercial solutions for 3D reconstruction from images typically assume large amounts of purposefully-collected, highly-overlapping imagery. In this article, a system is demonstrated for recovering a 3D scene from images of unknown origin, by marking ground space axes, resecting a camera consistent with the markings, and then using the solved camera to collect 3D measurements. The capability works with close-range (vanishing points) and long-range (parallel axes) imagery. Monte Carlo analysis is used to propagate measurement uncertainty of the vanishing lines to uncertainty of exterior and interior camera parameters, which can then be used to quantify uncertainty of measurements in the 3D scene.
Ending Page	494
Page Count	8
Starting Page	487
e-ISSN	21949034
DOI	10.5194/isprs-archives-xliii-b2-2020-487-2020
Journal	The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume Number	XLIII-B2-2
Language	English
Publisher	Copernicus GmbH
Publisher Date	2020-08-12
Access Restriction	Open
Subject Keyword	Cybernetical Science Monte Carlo Vanishing Points
Content Type	Text
Resource Type	Article

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