PCF

Point cloud file format.

Goals

Simplicity : uses simple data structures with direct access to the point components.
Versatility : stores multiple scans with any number of components, properties and images.
Compactness : minimizes the number of bits per component through spatial clustering.
Performance : can store huge point clouds in memory and serialize them at high speed.
Portability : implemented in both C++ and D, without using any external dependencies.

Installation

C++ version

Install g++ or Visual C++ 2019 Community.

Build the executable with the following command lines :

cd CODE/CPP/TOOL
./make.sh

D version

Install the DMD 2 compiler (using the MinGW setup option on Windows).

Build the executable with the following command lines :

cd CODE/D/TOOL
./make.sh

Command line

pcf [options]

Options

--read-pts <file path> <position bit count> <position precision> : read a PTS point cloud file
--read-ptx <file path> <position bit count> <position precision> : read a PTX point cloud file
--read-pcf <file path : read a PCF point cloud file
--dump : dump the point cloud
--write-pts <file path> : write a PTS point cloud file
--write-ptx <file path> : write a PTX point cloud file
--write-pcf <file path> : write a PCF point cloud file

Examples

pcf --read-ptx cloud.ptx 8 0.001 --dump --write-pcf cloud.pcf

Reads a PTX point cloud file, dumps it, and writes a PCF point cloud file.

pcf --read-pcf test.pcf --dump --write-ptx test.ptx

Reads a PCF point cloud file, dumps it, and writes a PTX point cloud file.

Version

0.3

Limitations

All scans share the same list of components.
The first three components are expected to be the point coordinates.
The point order is lost if the coordinate components are discretized.

Author

Eric Pelzer (ecstatic.coder@gmail.com).

License

This project is licensed under the GNU Lesser General Public License version 3.

See the LICENSE.md file for details.

SenseLogic/PCF

PCF