GPUMarkerTracker is a tracking software library for AR (augmented reality) markers. It utilizes GPGPU for fast and accurate tracking. It is intended for detecting markers from an HD resolution image so that small markers placed far from the camera can be detected. Each marker has a 12-bit payload with 9-bit CRC. The library does not produce false-positive detection errors of markers, practically. This software is distributed under the MIT license.
You need OpenCV, JOCL and JOGL in order to use the library under Windows OS.
Since version 1.20, Linux support is added. Currently, the software is only tested under Ubuntu 12.04 x86_64, but it should work under other distributions. You need to first make sure that you are using an OpenCL-capable graphics card and an appropriate driver. You need to manually install JOCL and JOGL to the specified directories.
You first need to install libcv-dev, libcvaux-dev, libhighgui-dev, and openjdk-7-jdk via the apt-get command. Then, you need to build a JNI library which is used to access OpenCV functions from Java. You need to modify the JDK_HOME variable in the makefile to point the correct directory. You can now make the library. If it succeeds, move libocvimgio.so, the generated file, under dll64 or dll32 directory, depending on the architecture of your OS. You can now execute the sample programs.
This software works very well with nVidia GeForce 400 series or later, or the IGP in Intel Ivy Bridge processors. The execution speed with other graphics card is kind of slow.
Naoki Shibata at Nara Institute of Science and Technology