Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration
Image-based 3D reconstruction refers to the capture and virtual reconstruction of real scenes, through the use of ordinary camera sensors. A common approach is the use of the algorithms Structure from Motion, Multi-view Stereo and Poisson Surface Reconstruction, that fares well for many types of sce...
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Linköpings universitet, Medie- och Informationsteknik
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ndltd-UPSALLA1-oai-DiVA.org-liu-1484522018-06-12T06:20:36ZImproving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud IntegrationengGråd, MartinLinköpings universitet, Medie- och InformationsteknikLinköpings universitet, Tekniska högskolan2018Image-based 3D reconstructionSfMMVSPoisson surface reconstructionline cloudpoint cloudPCAk-d treeMedia and Communication TechnologyMedieteknikImage-based 3D reconstruction refers to the capture and virtual reconstruction of real scenes, through the use of ordinary camera sensors. A common approach is the use of the algorithms Structure from Motion, Multi-view Stereo and Poisson Surface Reconstruction, that fares well for many types of scenes. However, a problem that this pipeline suffers from is that it often falters when it comes to texture-less surfaces and areas, such as those found in man-made environments. Building facades, roads and walls often lack detail and easily trackable feature points, making this approach less than ideal for such scenes. To remedy this weakness, this thesis investigates an expanded approach, incorporating line segment detection and line cloud generation into the already existing point cloud-based pipeline. Texture-less objects such as building facades, windows and roofs are well-suited for line segment detection, and line clouds are fitting for encoding 3D positional data in scenes consisting mostly of objects featuring many straight lines. A number of approaches have been explored in order to determine the usefulness of line clouds in this context, each of them addressing different aspects of the reconstruction procedure. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148452application/pdfinfo:eu-repo/semantics/openAccess |
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Image-based 3D reconstruction SfM MVS Poisson surface reconstruction line cloud point cloud PCA k-d tree Media and Communication Technology Medieteknik |
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Image-based 3D reconstruction SfM MVS Poisson surface reconstruction line cloud point cloud PCA k-d tree Media and Communication Technology Medieteknik Gråd, Martin Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration |
description |
Image-based 3D reconstruction refers to the capture and virtual reconstruction of real scenes, through the use of ordinary camera sensors. A common approach is the use of the algorithms Structure from Motion, Multi-view Stereo and Poisson Surface Reconstruction, that fares well for many types of scenes. However, a problem that this pipeline suffers from is that it often falters when it comes to texture-less surfaces and areas, such as those found in man-made environments. Building facades, roads and walls often lack detail and easily trackable feature points, making this approach less than ideal for such scenes. To remedy this weakness, this thesis investigates an expanded approach, incorporating line segment detection and line cloud generation into the already existing point cloud-based pipeline. Texture-less objects such as building facades, windows and roofs are well-suited for line segment detection, and line clouds are fitting for encoding 3D positional data in scenes consisting mostly of objects featuring many straight lines. A number of approaches have been explored in order to determine the usefulness of line clouds in this context, each of them addressing different aspects of the reconstruction procedure. |
author |
Gråd, Martin |
author_facet |
Gråd, Martin |
author_sort |
Gråd, Martin |
title |
Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration |
title_short |
Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration |
title_full |
Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration |
title_fullStr |
Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration |
title_full_unstemmed |
Improving Conventional Image-based 3D Reconstruction of Man-made Environments Through Line Cloud Integration |
title_sort |
improving conventional image-based 3d reconstruction of man-made environments through line cloud integration |
publisher |
Linköpings universitet, Medie- och Informationsteknik |
publishDate |
2018 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148452 |
work_keys_str_mv |
AT gradmartin improvingconventionalimagebased3dreconstructionofmanmadeenvironmentsthroughlinecloudintegration |
_version_ |
1718695134254596096 |