Hello, I'm starting a funny project (at least, part of a project): intelligent bracketing.
Many DSLR have a auto bracketing mode, where you can automatically shoot additionnal pictures arround the current exposure. But usually, it is limited (3 shots, no more than +-2EV), except for high-end DSLR. Anyway, even with a full auto bracketing mode, it is not always possible to get the complete dynamic of a scene. And it is especially true when shooting panoramic pictures, which is my goal, as there are very large differences between one side to another (shooting a full-spehrical pano always implies to shoot towards the sun). The idea of intelligent bracketing is to take a first shot, analyse it, and take additionnal shots with an exposure bias: each new shot is based on the result of the previous one. So, we need to analyse the images (mainly histogram, which is easily done with PIL) to determine the next exposure bias. This is where I need some help; I'm far from a maths guru ;o) If you have some papers which can help, or some personnal knowledge, feel free to contact me, or to give some usefull tips. Thanks for reading. PS : about the complete project: it is a panohead control software, to automatically takes panoramic pictures, using a motorized panohead (in fact, a low cost astronomic mount). The software is called Papywizard, and can be found here: http://trac.gbiloba.org/papywizard It is developed with the help of Kolor, a french company selling the famous Autopano Pro software, but Papywizard is released under a free license. -- Frédéric http://www.gbiloba.org _______________________________________________ Image-SIG maillist - Image-SIG@python.org http://mail.python.org/mailman/listinfo/image-sig