3D Building Detection and Modeling from Aerial LIDAR Data

By Vivek Verma, Rakesh Kumar, S. Hsu. Computer Vision and Pattern Recognition, 2006

372 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Environmental Engineering, Geology

View Paper: https://www.semanticscholar.org/paper/3bc01f2cf8f64e35b882d0bb3c7e07f489ecff6a

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. Burcu Akinci
2. Pingbo Tang
3. Robert R. Lipman
4. Alan Marshall Lytle
5. Alexander Toshev
6. Daniel F. Huber
7. Jie Shan
8. B. Taskar

In Environmental Engineering

1. Daniel F. Huber
2. Jie Shan
3. Pingbo Tang
4. Robert R. Lipman
5. B. Taskar
6. Philippos Mordohai
7. Martin Kada
8. Norbert Haala

In Geology

1. Burcu Akinci
2. Daniel F. Huber
3. Jie Shan
4. Pingbo Tang
5. Robert R. Lipman
6. Viorica Patraucean
7. Jantien E. Stoter
8. Iro Armeni

Citations in the corpus

• Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds (2010, methodology): “As a typical implementation of region growing methods, [11] detects planes in small neighborhoods in the point clouds and use a connected”
• An update on automatic 3D building reconstruction (2010, positive): “Verma et al. (2006) model complex buildings using parametric primitives.”
• Detecting and parsing architecture at city scale from range data (2010, background): “A common way to represent buildings is to use planes endowed with geometric features [20, 28, 15, 27] or use more complex primitives manually designed to represent building parts [9, 3, 19].”
• An improved LOD specification for 3D building models (2016, background): “…2000; Kemec et al., 2012; Schilcher et al., 1998; Thiemann, 2003; Demir and Baltsavias, 2012), usually in the field of 3D generalisation (Zhao et al., 2012; Li et al., 2013), visualisation (Andujar et al., 2010; Rau and Cheng, 2013) and 3D reconstruction (Huang et al., 2011; Verma et al., 2006).”
• State of research in automatic as-built modelling (2015, methodology): “Closely related to the model-based approaches mentioned in the previous class, the method introduced in [113] for urban modelling, uses graphs to encode the connectivity of planar elements, and recognise predefined configurations by subgraph matching.”
• Automatic Reconstruction of As-Built Building Information Models from Laser-Scanned Point Clouds: A Review of Related Techniques | NIST (2010, methodology): “(bottom-left), and then estimating the boundaries of each patch (bottom-right) (from [95], © 2006 IEEE).”