System for automated site model acquisition

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

A system has been developed to acquire, extend and refine 3D geometric site models from aerial imagery. The system hypothesizes 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. Projectively warped image intensity maps are associated with the faces of each recovered building, allowing realistic rendering of the scene from new viewpoints.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Pages244-254
Number of pages11
Volume2486
StatePublished - Dec 1 1995
EventIntegrating Photogrammetric Techniques with Scene Analysis and Machine Vision II - Orlando, FL, USA
Duration: Apr 19 1995Apr 21 1995

Other

OtherIntegrating Photogrammetric Techniques with Scene Analysis and Machine Vision II
CityOrlando, FL, USA
Period4/19/954/21/95

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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    Collins, R., Jaynes, C., Stolle, F., Wang, X., Cheng, Y. Q., Hanson, A. R., & Riseman, E. M. (1995). System for automated site model acquisition. In Proceedings of SPIE - The International Society for Optical Engineering (Vol. 2486, pp. 244-254)