Template Assembly for Detailed Urban Reconstruction

Liangliang Nan, Peter Wonka, Bernard Ghanem, Caigui Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

We propose a new framework to reconstruct building details by automatically assembling 3D templates on coarse textured building models. In a preprocessing step, we generate an initial coarse model to approximate a point cloud computed using Structure from Motion and Multi View Stereo, and we model a set of 3D templates of facade details. Next, we optimize the initial coarse model to enforce consistency between geometry and appearance (texture images). Then, building details are reconstructed by assembling templates on the textured faces of the coarse model. The 3D templates are automatically chosen and located by our optimization-based template assembly algorithm that balances image matching and structural regularity. In the results, we demonstrate how our framework can enrich the details of coarse models using various data sets.
Original languageEnglish (US)
Title of host publicationComputer Graphics Forum
PublisherWiley
Pages217-228
Number of pages12
DOIs
StatePublished - Jun 22 2015

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