Knowledge and heuristic-based modeling of laser-scanned trees

By Nathan Gossett, Baoquan Chen. TOGS, 2007

315 citations recorded by the source corpus.

Subfields: Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/fe97c374bdff8cbc5297d6836d0f4f841200f31c

How researchers see this paper

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

In Computer Graphics and Computer-Aided Design

1. Thomas A. Funkhouser
2. Vladimir G. Kim
3. Aleksey Golovinskiy
4. Jan Hackenberg
5. Heinrich Spiecker
6. Hao Zhang
7. Mathias I. Disney
8. Pasi Raumonen

In Computer Vision and Pattern Recognition

1. Thomas A. Funkhouser
2. Vladimir G. Kim
3. Hao Zhang
4. Aleksey Golovinskiy
5. Leonidas J. Guibas
6. Jan Hackenberg
7. Heinrich Spiecker
8. Baoquan Chen

In Environmental Engineering

1. Thomas A. Funkhouser
2. Aleksey Golovinskiy
3. Kim Calders
4. Mathias I. Disney
5. Jan Hackenberg
6. Heinrich Spiecker
7. Pasi Raumonen
8. Dongjing Sun

Citations in the corpus

• Non Destructive Method for Biomass Prediction Combining TLS Derived Tree Volume and Wood Density (2015, methodology): “[21] found a way to calculate tree models by applying the Dijkstra algorithm [22], which is normally used for the solution of shortest paths determination in way finding routines.”
• Creating Large-Scale City Models from 3D-Point Clouds: A Robust Approach with Hybrid Representation (2012, unknown): “For a street-view representation, one can imagine proposing a more realistic tree modeling, e.g. (Xu et al., 2007).”
• Estimation of 3D vegetation density with Terrestrial Laser Scanning data using voxels. A sensitivity analysis of influencing parameters (2017, methodology): “Also, Côté et al. (2009), Côté et al. (2011), Hosoi et al. (2013), Hosoi and Omasa (2006) and Xu et al. (2007) used TLS scans in order to reconstruct trees or stands using the simulation of tree architecture (stem, branch, and foliar elements).”
• SimpleTree —An Efficient Open Source Tool to Build Tree Models from TLS Clouds (2015, methodology): “[64,65] used it for non validated tree skeletonization approaches.”
• Automatic reconstruction of tree skeletal structures from point clouds (2010, methodology): “In the final experiment, we compare our reconstruction results to those obtained from the method of [Xu et al. 2007], which is the closest related to ours.”
• Shape-based recognition of 3D point clouds in urban environments (2009, background): “[28] created visually appealing reconstructions from a densely sampled point cloud of a tree.”