Schematic Surface Reconstruction


This paper introduces a schematic representation for architectural scenes together with robust algorithms for reconstruction from sparse 3D point cloud data. The representation is extremely concise, composed of a handful of planar curves, and easily interpretable by humans. By incorporating a displacement map on top of the schematic surface, it is possible to recover fine details. Experiments show the ability to reconstruct extremely clean and simple models from sparse structure-from-motion point clouds of complex architectural scenes.

Changchang Wu, Sameer Agarwal, Brian Curless, and Steven M. Seitz, "Schematic Surface Reconstruction" (poster), CVPR 2012



A demo version of Schematic surface reconstruction is available upon request as part of Changchang Wu' VisualSFM.


The four datasets can be found here