2016 · 31 citations · 9 references
ArchitectureBuilding Science3D ModelingBuilding StructuresGeometric Modeling3D ReconstructionArchitectural ModelingGeometry ProcessingMulti-view GeometryScene ReconstructionSurface ReconstructionGeometry ModelingPoint Cloud MatchingPoint Cloud Scene Understanding
This paper presents an approach for automatically aligning the non-overlapping interior and exterior parts of a 3D building model computed from image based 3D reconstructions. We propose a method to align the 3D reconstructions by identifying corresponding 3D structures that are part of the interior and exterior model (e.g. openings like windows). In this context, we point out the potential of using 3D line segments to enrich the information of point clouds generated by SfMs and show how this can be used for interpreting the scene and matching individual reconstructions.
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Noah Snavely, Steven M. Seitz, Richard Szeliski · ACM Transactions on Graphics · 2006 · 2.8K citations · Full text
Noah Snavely, Steven M. Seitz, Richard Szeliski · 2006 · 682 citations · Full text
VisualSFM:A visual structure from motion system,
Chiusheng Wu · Medical Entomology and Zoology · 2011 · 680 citations
Yasutaka Furukawa, Brian Curless, Steven M. Seitz et al. · 2009 IEEE Conference on Computer Vision and Pattern Recognition · 2009 · 345 citations