Detecting and parsing architecture at city scale from range data

By Alexander Toshev, Philippos Mordohai, B. Taskar. 2010

89 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Environmental Engineering

How researchers see this paper

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

In Aerospace Engineering

1. Luc Van Gool
2. Daniel G. Aliaga
3. Werner Purgathofer
4. Peter Wonka
5. Nicolas David
6. Michael H. Wimmer
7. Przemyslaw Musialski
8. Clément Mallet

In Computer Vision and Pattern Recognition

1. Peter Wonka
2. Luc Van Gool
3. Ming-Hsuan Yang
4. Chen Change Loy
5. Andreas Geiger
6. Dacheng Tao
7. Xiaogang Wang
8. Trevor Darrell

In Environmental Engineering

1. Luc Van Gool
2. Peter Wonka
3. Clément Mallet
4. Suya You
5. Jing Huang

Citations in the corpus

• DIMENSIONALITY BASED SCALE SELECTION IN 3D LIDAR POINT CLOUDS (2012, background): “Several indicators have already been proposed (West et al., 2004; Toshev et al., 2010), and the following ones have been selected (Figure 2) to describe the linear (a1D), planar (a2D), and scatter (a3D) behaviors within VrP : a1D = σ1 − σ2 µ , a2D = σ2 − σ3 µ , a3D = σ3 µ , where µ is the…”
• Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation (2012, unknown): “2 rejects outliers from the building point set, the use of Ransac-based algorithms, which are more computationally expensive for similar problems (Schnabel et al. 2007; Toshev et al. 2010), is not required.”
• A Survey of Urban Reconstruction (2013, methodology): “Another approach where a grammar is fitted from laser-scan data was published by Toshev et al. [TMT10].”