3-D Scene Reconstruction from Line Correspondences between Multiple Views

Bibliographic Details
Main Author:	Linger, Michael
Language:	English
Published:	Wright State University / OhioLINK 2014
Subjects:	Computer Engineering Structure from Motion Computer Vision
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=wright1418675269

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spelling	ndltd-OhioLink-oai-etd.ohiolink.edu-wright14186752692021-08-03T06:28:36Z 3-D Scene Reconstruction from Line Correspondences between Multiple Views Linger, Michael Computer Engineering Structure from Motion Computer Vision Three-dimensional scene reconstruction from 2-D images has many applications, such as surveillance, mission planning, autonomous navigation systems, cartography, and target recognition. Of specific interest to this research is the reconstruction of urban scenes containing man-made structures, such as roads and buildings, to support the burgeoning surveillance industry. Using 3-D maps to augment existing mission planning cartography products (DTED/SRTM, CADRG, CIB), mission and event planners will be able to compute strategic line-of-sight coverage for threat avoidance or threat prosecution. Forensic video analysts can use these models to recreate crime scenes, while law enforcement can build flight plans to minimize occlusions from tall structures in their persistent surveillance systems.Traditional methods of 3-D scene reconstruction leverage image points as a primitive element. Various approaches detect and correlate points for use in triangulation and 3-D reconstruction. Little work has been done in 3-D reconstruction using lines as primitives. In my research, I detect line segments and their associated planar surfaces. Lines detected in 2-D images are back projected to corresponding planar patches and triangulated via linear incident relations resulting in a reconstructed 3-D wireframe model. This research uses high resolution imagery at close range as could be collected by autonomous drones. It reduces data by an order of magnitude by exploiting the point-line duality of projective geometry. 2014-12-16 English text Wright State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=wright1418675269 http://rave.ohiolink.edu/etdc/view?acc_num=wright1418675269 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection	NDLTD
language	English
sources	NDLTD
topic	Computer Engineering Structure from Motion Computer Vision
spellingShingle	Computer Engineering Structure from Motion Computer Vision Linger, Michael 3-D Scene Reconstruction from Line Correspondences between Multiple Views
author	Linger, Michael
author_facet	Linger, Michael
author_sort	Linger, Michael
title	3-D Scene Reconstruction from Line Correspondences between Multiple Views
title_short	3-D Scene Reconstruction from Line Correspondences between Multiple Views
title_full	3-D Scene Reconstruction from Line Correspondences between Multiple Views
title_fullStr	3-D Scene Reconstruction from Line Correspondences between Multiple Views
title_full_unstemmed	3-D Scene Reconstruction from Line Correspondences between Multiple Views
title_sort	3-d scene reconstruction from line correspondences between multiple views
publisher	Wright State University / OhioLINK
publishDate	2014
url	http://rave.ohiolink.edu/etdc/view?acc_num=wright1418675269
work_keys_str_mv	AT lingermichael 3dscenereconstructionfromlinecorrespondencesbetweenmultipleviews
_version_	1719437525036040192

3-D Scene Reconstruction from Line Correspondences between Multiple Views

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