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Proceedings Paper

Surface microstructure extraction from multiple aerial images
Author(s): Xiaoguang Wang; Allen R. Hanson; Robert T. Collins; Jeffrey M. DeHart
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Paper 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.

Paper Details

Date Published: 5 August 1997
PDF: 12 pages
Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); doi: 10.1117/12.281045
Show Author Affiliations
Xiaoguang Wang, Univ. of Massachusetts/Amherst (United States)
Allen R. Hanson, Univ. of Massachusetts/Amherst (United States)
Robert T. Collins, Carnegie Mellon Univ. (United States)
Jeffrey M. DeHart, Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 3072:
Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III
David M. McKeown; J. Chris McGlone; Olivier Jamet, Editor(s)

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