Software

Building Reconstruction Using Manhattan-World Grammars

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Executive Summary

The authors present a passive computer vision method that exploits existing mapping and navigation databases in order to automatically create 3D building models. The 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, they extend previous Manhattan-world methods to robustly produce a single, coherent, complete geometric model of a building with partial textures.

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