Modeling Complex Building Structure (LoD2) Using Image-Based Point Cloud

Wael Ahmed, Wenzhong Shi, Wenbin Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

A method designed to reconstruct outdoor 3D building models automatically from a point cloud is presented in this paper. The proposed approach starts with building detection using spectral and spatial data from the UAV point cloud to remove non-building features. RANSAC, modified convex hull, and line growing algorithms are used to extract main roof planes and their boundaries. Roof planes are adjusted to each other using geometrical constraints, the height of each plane is estimated and a 3D model for the whole structure is constructed with LoD2. The key contribution of this approach is using a hybrid approach of model-driven with statistical analysis for modeling complex structures from a noisy point cloud. The reconstructed model shows that the workflow is sufficient to describe the whole building structure in the required LoD.

Original languageEnglish
Title of host publicationIEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages110-114
Number of pages5
ISBN (Electronic)9781728102474
DOIs
Publication statusPublished - 2 Jul 2018
Event3rd IEEE International Conference on Image Processing, Applications and Systems, IPAS 2018 - Sophia Antipolis, France
Duration: 12 Dec 201814 Dec 2018

Publication series

NameIEEE 3rd International Conference on Image Processing, Applications and Systems, IPAS 2018

Conference

Conference3rd IEEE International Conference on Image Processing, Applications and Systems, IPAS 2018
Country/TerritoryFrance
CitySophia Antipolis
Period12/12/1814/12/18

Keywords

  • LoD2
  • Model Driven
  • Outdoor Modeling
  • RANSAC
  • UAV

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Computer Graphics and Computer-Aided Design

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