SUB-SURFACE GROWING AND BOUNDARY GENERALIZATION FOR 3D BUILDING RECONSTRUCTION

The automatic reconstruction of 3D building models from airborne point cloud data is still an ongoing research topic. Especially for complex roof shapes, the identification of sub-shapes, the generation of roof boundaries and the construction to well-shaped and topologically correct models remains o...

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Main Authors: M. Kada, A. Wichmann
Format: Article
Language:English
Published: Copernicus Publications 2012-07-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-3/233/2012/isprsannals-I-3-233-2012.pdf
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author M. Kada
A. Wichmann
author_facet M. Kada
A. Wichmann
author_sort M. Kada
collection DOAJ
description The automatic reconstruction of 3D building models from airborne point cloud data is still an ongoing research topic. Especially for complex roof shapes, the identification of sub-shapes, the generation of roof boundaries and the construction to well-shaped and topologically correct models remains only partially solved. In this paper, a 3D building reconstruction methodology that is based on the notion of sub-surface growing as a means for point cloud segmentation of planar surfaces is introduced. In contrast to conventional surface growing, the segmentation process continues below other surfaces. As a result, the segments grow larger, their number decrease and the adjacency relations between them become more distinct, thus allowing stricter rules to help identify and differentiate between the root types of the roof sub-shapes and their composition to complex roof structures. In conjunction with a constructive solid modeling approach, the model construction is significantly simplified, as the generation of primitives from sub-surface segments is straightforward and their combination to complex shapes can be much easier derived from their interrelations. In the second part of the paper, a boundary generalization approach is presented that allows generating building and segment outlines with regularized shapes from given point sets. Together with sub-surface growing, its usage in the reconstruction of flat roof office buildings is shown. The models are constructed in layers in a bottom-up fashion, each one being the result of a flat sub-surface segment with a generalized boundary, where the regularization rules of one layer are propagated to the next in order to gain well-shaped buildings. A discussion on the so far achieved results and future developments concludes the paper.
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spelling doaj.art-601c6a4af7c1433e8139b7462614ea522022-12-22T00:23:06ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502012-07-01I-323323810.5194/isprsannals-I-3-233-2012SUB-SURFACE GROWING AND BOUNDARY GENERALIZATION FOR 3D BUILDING RECONSTRUCTIONM. Kada0A. Wichmann1Institute for Geoinformatics and Remote Sensing (IGF), University of Osnabrück Barbarastr. 22b, 49076 Osnabrück, GermanyInstitute for Geoinformatics and Remote Sensing (IGF), University of Osnabrück Barbarastr. 22b, 49076 Osnabrück, GermanyThe automatic reconstruction of 3D building models from airborne point cloud data is still an ongoing research topic. Especially for complex roof shapes, the identification of sub-shapes, the generation of roof boundaries and the construction to well-shaped and topologically correct models remains only partially solved. In this paper, a 3D building reconstruction methodology that is based on the notion of sub-surface growing as a means for point cloud segmentation of planar surfaces is introduced. In contrast to conventional surface growing, the segmentation process continues below other surfaces. As a result, the segments grow larger, their number decrease and the adjacency relations between them become more distinct, thus allowing stricter rules to help identify and differentiate between the root types of the roof sub-shapes and their composition to complex roof structures. In conjunction with a constructive solid modeling approach, the model construction is significantly simplified, as the generation of primitives from sub-surface segments is straightforward and their combination to complex shapes can be much easier derived from their interrelations. In the second part of the paper, a boundary generalization approach is presented that allows generating building and segment outlines with regularized shapes from given point sets. Together with sub-surface growing, its usage in the reconstruction of flat roof office buildings is shown. The models are constructed in layers in a bottom-up fashion, each one being the result of a flat sub-surface segment with a generalized boundary, where the regularization rules of one layer are propagated to the next in order to gain well-shaped buildings. A discussion on the so far achieved results and future developments concludes the paper.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-3/233/2012/isprsannals-I-3-233-2012.pdf
spellingShingle M. Kada
A. Wichmann
SUB-SURFACE GROWING AND BOUNDARY GENERALIZATION FOR 3D BUILDING RECONSTRUCTION
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title SUB-SURFACE GROWING AND BOUNDARY GENERALIZATION FOR 3D BUILDING RECONSTRUCTION
title_full SUB-SURFACE GROWING AND BOUNDARY GENERALIZATION FOR 3D BUILDING RECONSTRUCTION
title_fullStr SUB-SURFACE GROWING AND BOUNDARY GENERALIZATION FOR 3D BUILDING RECONSTRUCTION
title_full_unstemmed SUB-SURFACE GROWING AND BOUNDARY GENERALIZATION FOR 3D BUILDING RECONSTRUCTION
title_short SUB-SURFACE GROWING AND BOUNDARY GENERALIZATION FOR 3D BUILDING RECONSTRUCTION
title_sort sub surface growing and boundary generalization for 3d building reconstruction
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/I-3/233/2012/isprsannals-I-3-233-2012.pdf
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