Marker detection
A marker is usually designed as a rectangle image holding black and white areas inside it. Due to known limitations, the marker detection procedure is a simple one. First of all we need to find closed contours on the input image and unwarp the image inside it to a rectangle and then check this against our marker model.
In this sample the 5 x 5 marker will be used. Here is what it looks like:
In the sample project that you will find in this book, the marker detection routine is encapsulated in the MarkerDetector class:
/** * A top-level class that encapsulate marker detector algorithm */ class MarkerDetector { public: /** * Initialize ...Get Mastering OpenCV with Practical Computer Vision Projects now with the O’Reilly learning platform.
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