Site model acquisition and extension from aerial images

Robert Collins, Yong Qing Cheng, Chris Jaynes, Frank Stolle, Xiaoguang Wang, Allen R. Hanson, Edward M. Riseman

Research output: Contribution to conferencePaper

14 Scopus citations

Abstract

A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. This system hypothesize potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via multi-image triangulation. Model-to-image registration techniques are applied to align new, incoming images against the site model. Model extension and refinement procedures are then performed to add previously unseen buildings and to improve the geometric accuracy of the existing 3D building models.

Original languageEnglish (US)
Pages888-893
Number of pages6
StatePublished - Jan 1 1995
EventProceedings of the 5th International Conference on Computer Vision - Cambridge, MA, USA
Duration: Jun 20 1995Jun 23 1995

Other

OtherProceedings of the 5th International Conference on Computer Vision
CityCambridge, MA, USA
Period6/20/956/23/95

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Collins, R., Cheng, Y. Q., Jaynes, C., Stolle, F., Wang, X., Hanson, A. R., & Riseman, E. M. (1995). Site model acquisition and extension from aerial images. 888-893. Paper presented at Proceedings of the 5th International Conference on Computer Vision, Cambridge, MA, USA, .