Three-dimensional building reconstruction using highly overlapped aerial images

Tee-Ann Teo*, Liang Chien Chen, Hong Kuei Cheng, Shin Hui Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The development of digital aerial camera provides the possibility of acquiring highly overlapped aerial images with high spatial resolution. In addition to its high spatial resolution that improves the capability of image interpretation, the highly overlapped images provide favorable geometrical configuration with high redundancy. The high similarity of stereo images is, thus, beneficial to the reliable image matching. Hence, the 3-D point clouds from the image matching have the great potential in 3-D modeling. The topographic maps provide the distinct boundaries for building modeling. The strategies of building reconstruction with existing topographic maps may improve the quality, cost, and efficiency for building modeling. The objective of this investigation is to integrate highly overlapped aerial images and building boundaries from topographic map. The proposed semi-automatic method includes 3-D lines extraction and polyhedral model generation. In the beginning, the operator locates the initial lines by a graphical user interface. The initial lines are refined by stereo images. The precise 3-D lines are processed into a 3-D modeling by an inference engine. The experimental results indicate that the proposed method may reconstruct the 3-D building model effectively.

Original languageEnglish
Title of host publicationMIPPR 2009 - Pattern Recognition and Computer Vision
DOIs
StatePublished - 15 Dec 2009
EventMIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral Image Processing and Pattern Recognition - Yichang, China
Duration: 30 Oct 20091 Nov 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7496
ISSN (Print)0277-786X

Conference

ConferenceMIPPR 2009 - Pattern Recognition and Computer Vision: 6th International Symposium on Multispectral Image Processing and Pattern Recognition
CountryChina
CityYichang
Period30/10/091/11/09

Keywords

  • Aerial images
  • Building
  • Image matching
  • Reconstruction

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