Many augmented reality applications are based on the detection and
reconstruction of the orientation and position of some markers.
First step is the detection of black-on-white squares in an image. We
implemented (just for fun) such an algorithm. This algorithm is based on
an article by Martin Hirzer in 2008. The marker detection is edge based,
and therefore pretty stable under changing or not homogeneous lightning
conditions. Also notice the correctly detected marker at the bottom of
the image, although one edge is partially occluded by a pencil.
In the first image you can see three (correctly) detected markers. In
the second image step 3 of the algorithm is shown: the detection of line
segments in de image.
Please check out our blog post. Here you can find a full explanation of
the algorithm used, some more images and a video of the marker detection
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Good work, very interesting thanks… :)
Very cool. I have been thinking about writing something similar for a
while, but never got started – looks like your project is a great place
Interesting, good job!