An update on automatic 3D building reconstruction

By Norbert Haala, Martin Kada. 2010

493 citations recorded by the source corpus.

Subfields: Building and Construction, Environmental Engineering, Geology

View Paper: https://www.semanticscholar.org/paper/ca13fc58b0d75937786fc475df08df101a811b02

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Jantien E. Stoter
2. Filip Biljecki
3. Hugo Ledoux

In Environmental Engineering

1. Hugo Ledoux

In Geology

1. Jantien E. Stoter
2. Filip Biljecki
3. Hugo Ledoux

Citations in the corpus

• Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation (2012, unknown): “Driven by new virtual applications, this research domain has considerably pro-Florent gressed during the last decade as underlined in recent studies (Zhu and Kanade, 2008; Mayer, 2008; Haala and Kada, 2010).”
• An improved LOD specification for 3D building models (2016, background): “They are usually derived from point clouds or photogrammetry, and their combination with building footprints (Alexander et al., 2009; Haala and Brenner, 1999; Haala and Kada, 2010).”
• Reconstructing building mass models from UAV images (2016, unknown): “However, the digitization of urban scenes with complex architectural structures still remains a challenge [1, 2, 3].”