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ARToolkit |
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We are working with the ARToolkit from the University of Washington HIT lab, for a variety of tracking applications. Primarily we have modified the toolkit to use with the Intel open source computer vision library (openCV) camera calibration and pose estimation.
We also have written some matlab scripts that will produce markers similar to the one above. The checkerboard stripe orients the marker, and the id is encoded in binary above (#98 is shown here). This allows for 4096 different patterns (3x4 binary matrix --> 2^12). If anyone would like to use these patterns feel free to email brendan hannigan (see his page for info). The matlab scripts generate marker images and pattern files and are extremely straightforward and flexible. |
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