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Building Reconstruction using Manhattan-World Grammars
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BibTeX
@MISC{Vanegas_buildingreconstruction,
author = {Carlos A. Vanegas and Daniel G. Aliaga and Bedřich Beneš},
title = {Building Reconstruction using Manhattan-World Grammars},
year = {}
}
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Abstract
Figure 1. System Pipeline. The input to our system consists of one or more calibrated aerial images of a Manhattan-world building. After color segmentation and background/windows removal, our grammar-based algorithm adapts the geometry of the building that produces the façade orientation changes observed in the photos. The input photos are projected as textures onto the reconstructed model. The result is an automatically-generated complete, closed 3D model of the observed building. We present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building models. Our method defines a grammar for representing changes in building geometry that approximately follow the Manhattan-world assumption which states there is a predominance of three mutually orthogonal directions in the scene. By using multiple calibrated aerial images, we extend previous Manhattan-world methods to robustly produce a single, coherent, complete geometric model of a building with partial textures. Our method uses an optimization to discover a 3D building geometry that produces the same set of façade orientation changes observed in the captured images. We have applied our method to several real-world buildings and have analyzed our approach using synthetic buildings. 1.
Keyphrases
manhattan-world grammar building geometry system pipeline observed building calibrated aerial image orientation change passive computer vision method orthogonal direction previous manhattan-world method aerial image fa ade orientation change captured image automatically-generated complete complete geometric model manhattan-world building color segmentation synthetic building navigation database reconstructed model partial texture building model input photo several real-world building background window removal manhattan-world assumption grammar-based algorithm
