The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …

Digital building representations enable and promote new forms of simulation, automation,
and information sharing. However, creating and maintaining these representations is …

We present a benchmark for image-based 3D reconstruction. The benchmark sequences
were acquired outside the lab, in realistic conditions. Ground-truth data was captured using …

We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect
to a large indoor 3D map. The contributions of this work are three-fold. First, we develop a …

In this paper, we propose a method for semantic parsing the 3D point cloud of an entire
building using a hierarchical approach: first, the raw data is parsed into semantically …

We present an approach to indoor scene reconstruction from RGB-D video. The key idea is
to combine geometric registration of scene fragments with robust global optimization based …

The area of surface reconstruction has seen substantial progress in the past two decades.
The traditional problem addressed by surface reconstruction is to recover the digital …

The automation of digital twinning for existing reinforced concrete bridges from point clouds
remains an unresolved problem. Whilst current methods can automatically detect bridge …

We describe an effective and efficient method for point-wise semantic classification of 3D
point clouds. The method can handle unstructured and inhomogeneous point clouds such …

We present a novel method for reconstructing parametric, volumetric, multi-story building
models from unstructured, unfiltered indoor point clouds with oriented normals by means of …