Preprocessing module in IEEE PAMI 2013: A Framework for Automatic Modeling from Point Cloud Data
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bilateral_filtering
data
BoundingBox.cpp
BoundingBox.h
Color.cpp
Color.h
Edge.h
Face.h
FileUtilities.h
GeometricObject.cpp
GeometricObject.h
GeometryExporter.cpp
GeometryExporter.h
GeometryProcessing.cpp
GeometryProcessing.h
GeospatialBoundingBox.cpp
GeospatialBoundingBox.h
Image.cpp
Image.h
ImageProcessing.cpp
ImageProcessing.h
Monitoring.h
Readme.txt
Sorter.h
StructurePointcloud.cbp
StructurePointcloud.depend
StructurePointcloud.layout
Utilities.h
main.cpp

Readme.txt

The preprocessing module in IEEE PAMI 2013: A Framework for Automatic Modeling from Point Cloud Data


Structures the unstructured LiDAR data captured using an airborne scanner, into memory-manageable components which can be further processed in parallel. 

The size of the "tiles" or "geospatial bounding boxes" can be adjusted by changing the preprocessor flags: RES_x, RES_Y, RES_Z.

The copyright for the included bilateral filtering code belongs to Sylvain Paris and Frédo Durand.

References:
1. IEEE PAMI 2013: A Framework for Automatic Modeling from Point Cloud Data
2. IEEE CVPR 2009: Automatic reconstruction of cities from remote sensor data

More information about this work: www.poullis.org

Technical details:
- The project file is provided for Code::Blocks IDE. 
- It requires the libraries Image Magick and fftw3.
- A small sample file is provided in the data folder.

*IMPORTANT: To use this software, YOU MUST CITE the following in any resulting publication:*

@article{poullis2013framework,
  title={A Framework for Automatic Modeling from Point Cloud Data},
  author={Poullis, Charalambos},
  journal={Pattern Analysis and Machine Intelligence, IEEE Transactions on},
  volume={35},
  number={11},
  pages={2563--2575},
  year={2013},
  publisher={IEEE}
}

@inproceedings{poullis2009automatic,
  title={Automatic reconstruction of cities from remote sensor data},
  author={Poullis, Charalambos and You, Suya},
  booktitle={Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on},
  pages={2775--2782},
  year={2009},
  organization={IEEE}
}