Surface microstructure extraction from multiple aerial images

Xiaoguang Wang; Allen R. Hanson; Robert T. Collins; Jeffrey M. DeHart

doi:10.1117/12.281045

5 August 1997 Surface microstructure extraction from multiple aerial images

Xiaoguang Wang, Allen R. Hanson, Robert T. Collins, Jeffrey M. DeHart

Proceedings Volume 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III; (1997) https://doi.org/10.1117/12.281045
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Xiaoguang Wang, Allen R. Hanson, Robert T. Collins, and Jeffrey M. DeHart "Surface microstructure extraction from multiple aerial images", Proc. SPIE 3072, Integrating Photogrammetric Techniques with Scene Analysis and Machine Vision III, (5 August 1997); https://doi.org/10.1117/12.281045

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