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PTAM (Parallel Tracking and Mapping) re-released under GPLv3.

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PTAM-GPL

PTAM (Parallel Tracking and Mapping) re-released under GPLv3.

Target Platform: OS X Mavericks

Build Instruction

git clone https://github.com/davll/PTAM-GPL.git PTAM
cd PTAM
brew tap homebrew/science
brew tap davll/reality
brew install toon cmake opencv
brew install gvars3.rb libcvd.rb

mkdir build
cd build
cmake ..
make -j4

cd ..
./build/CameraCalibrator
./build/PTAM

What is PTAM

PTAM is a monocular SLAM (Simultaneous Localization and Mapping) system useful for real-time 6-DOF camera tracking in small scenes. It was originally developed as a research system in the Active Vision Laboratory of the University of Oxford, as described in the following papers:

  • Georg Klein and David Murray, "Parallel Tracking and Mapping for Small AR Workspaces", Proc. ISMAR 2007
  • Georg Klein and David Murray, "Improving the Agility of Keyframe-based SLAM", Proc. ECCV 2008

Previous PTAM release

PTAM was initially released in 2008 by Isis Innovation under a license suitable for academic use. That version is also available for commercial use subject to a license agreement with Isis Innovation. That version remains available here: http://www.robots.ox.ac.uk/~gk/PTAM/

This code represents a re-licensed fork of Isis Innovation's PTAM Source Code Release v1.0-r114.

Bug fixing, new features, and branches

If you have a version of PTAM with changes that you would like to merge into this master version, please send a pull or patch request.

Requests will be placed in their own branch for review and testing. Therefore, branches may or may not work. Branches will eventually be merged into the master once we have had time to review and test.

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