Surface microstructure extraction from multiple aerial images

Xiaoguang Wang, Allen R. Hanson, Robert T. Collins, Jeff Dehart

Research output: Contribution to journalConference article

1 Scopus citations

Abstract

In this paper we present a system that recovers building facet images from multiple source images and, as a first step towards detailed analysis of microstructures, extracts windows from walls. The system employs a sophisticated multi-image texture mapping technique to eliminate the corrupting effects of shadows and occlusions and to find a "best piece representation" of each facet. The system is model-driven, providing a context-based environment for microstructure analysis. The window extraction module focuses attention on wall facets, attempting to extract the 2-D window patterns attached to the walls using an oriented region growing technique. High-level knowledge is incorporated to simplify the computation of symbolic window extraction. The algorithms are typically useful in urban sites. Experiments show successful applications of this approach to site model refinement.

Original languageEnglish (US)
Pages (from-to)251-262
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3072
DOIs
StatePublished - Dec 1 1997
EventIntegrating Photogrammetric Techniques with Scene Analysis and Machine Vision III - Orlando, FL, United States
Duration: Apr 21 1997Apr 23 1997

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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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