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copied!<p>Depending on what you want to achieve this is not at all necessarily a bad idea, and you are not the first one who had it. There was a technology that uses a CD, which is a strongly standardised object which at least used to exist on most households, for a simple camera calibration task. (There is little technical to be found online about this, as the technology was proprietary. <a href="http://www.ieb.net/ac-2012/download/Upcload-PRESSKIT.pdf" rel="nofollow">This</a> is business document, where the use of the CD is mentioned. Algorithmically, however, it is not difficult if you know camera calibration.)</p> <p>The question is whether the precision you get is sufficient for your application. Don't expect any miracles here. Generally you can use almost any object you like to learn something about a camera, as long as you can detect it reliably and you know its geometry. Almost certainly you will have to take several pictures of the object. Curved surfaces are no problem per see. I regularly used a cylinder (larger than a beverage can, though, with a simple to detect pattern) to calibrate a complete camera rig of 12 SLRs. </p> <p>Don't expect to find out of the box solutions and don't expect implementation to be trivial. You will have to work your way through the math. I recommend the book by Hartley and Zisserman, Multiple View Geometry for Computer vision. <a href="http://iphome.hhi.de/eisert/papers/vmv02.pdf" rel="nofollow">This paper</a> describes an analysis-by-synthesis approach to calibration, which is the way to go for here (it does not describe exactly what you want, but the approach should generalise to arbitrary objects as long as you can detect them).</p>

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