xelatihy / DGG-SVG

Discrete Geodesic Graph and Saddle Vertex Graph

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GeodesicGraph: DGG and SVG

This is the source code for the graph-based discrete geodesic algorithms in the following paper:

Fast Construction of Discrete Geodesic Graphs
YOHANES YUDHI ADIKUSUMA, ZHENG FANG, and YING HE, Nanyang Technological University
ACM Trans. Graph., Vol. 39, No. 2, Article 14, Publication date: March 2020.

A more efficient method for constructing Discrete Geodesic Graph (DGG)—a sparse graph for computing approximate discrete geodesics on triangle meshes. This code also includes the implementation of Saddle Vertex Graph (SVG).

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Compling the code

  1. Please check ProjectDependencies.txt for the configuration of the project

  2. The code has been tested on:

    • Windows 10 with Microsoft Visual Studio 2017 and 2015
  3. The code implements the following commands:

    • DGG_Precompute for computing the geodesic graph
    • DGG_Solution for computing geodesic distance (single-source-all-destination or multiple-source-all-destination)

Usage of commands

  1. To compute the geodesic graph, use the command

    DGG_Precompute [method] [model] [accuracy_control_parameter] [number_of_threads]
    • method: 'f' for FastDGG or 's' for SVG
    • model: .obj/.off format mesh file
    • accuracy_control_parameter: an expected relative mean error ε ('0.01' represents ε= 1%)
    • number_of_threads: using multiple threads to accelerate the process

    Example command line:

    DGG_Precompute f bunny.obj 0.01 8 

    This command generates the precomputed geodesic graph bunny_FD0.0100000000_c5.binary.

  2. To compute the geodesic distance, use the command

    DGG_Solution [method] [model] [graph_binary_file] [source] [output_distance_file]  
    • method: 'SSAD' for single-source-all-destination or 'MSAD' for multiple-source-all-destination
    • model: .obj/.off format mesh file
    • graph_binary_file: the precomputed geodesic graph in .binary format
    • source: 0-based source vertex id for single source or source file name for multiple sources
    • output_distance_file: a file saving the distance field

    Example command line:

    DGG_Solution SSAD bunny.obj bunny_FD0.0100000000_c5.binary 0 bunny.distance.txt

    This command generates the distance field bunny.distance.txt.


Citation

Please cite the following paper if you use FastDGG:

@article{10.1145/3144567,
author = {Adikusuma, Yohanes Yudhi and Fang, Zheng and He, Ying},
title = {Fast Construction of Discrete Geodesic Graphs},
year = {2020},
issue_date = {March 2020},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {39},
number = {2},
issn = {0730-0301},
url = {https://doi.org/10.1145/3144567},
doi = {10.1145/3144567},
journal = {ACM Trans. Graph.},
month = mar,
articleno = {Article 14},
numpages = {14},
keywords = {geodesic path, Geodesic distance, anisotropic meshes, accuracy-aware window propagation, discrete geodesic graph, polyhedral surfaces, complexity analysis}
}

Please cite the following paper if you use SVG:

@article{10.1145/2508363.2508379,
author = {Ying, Xiang and Wang, Xiaoning and He, Ying},
title = {Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem},
year = {2013},
issue_date = {November 2013},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {32},
number = {6},
issn = {0730-0301},
url = {https://doi.org/10.1145/2508363.2508379},
doi = {10.1145/2508363.2508379},
journal = {ACM Trans. Graph.},
month = nov,
articleno = {Article 170},
numpages = {12},
keywords = {shortest path, discrete geodesic, saddle vertex graph}
}

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Discrete Geodesic Graph and Saddle Vertex Graph


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