> Ah, well, appearances can be deceptive. There are many papers > in computer vision in which you can see fancy 3D reconstructions > produced from camera images. However, when you really get > into the nitty gritty of how these work you'll usually find that > they were either produced under highly contrived conditions or > the result you can see is not statistically representative (i.e. > you might get a good result, but only 20% of the time).
Thanks Bob, For my purposes, I'm actually fairly comfortable with "highly contrived conditions", results that are very approximate or just robust object segmentation (rather than full/partial reconstruction). I share a lab with a Robocup team, and was toying with the idea of trying to adapt their C++ code and their highly contrived soccer field to my experiments. Unfortunately, though, Robocup vision would fail if you were to throw a yellow ball onto the field (instead of red): the systems aren't "open-ended" enough for my liking. > However, this is a problem that I'm currently working on a > solution for (see http://code.google.com/p/sentience/). This looks very interesting. How long (and on what sort of machine) does it take to process each stereo pair with your dense stereo correspondence algorithm? > These are all non-trivial problems and I don't know of any > libraries (java or otherwise) which "out of the box" perform > 3D reconstruction in real time from camera images. Thanks - it isn't looking too promising. It seems like I'm going to have to use bright lights, simple objects and then write some code of my own (or look into interfacing directly with a C++ system). -Ben ----- This list is sponsored by AGIRI: http://www.agiri.org/email To unsubscribe or change your options, please go to: http://v2.listbox.com/member/?member_id=8660244&id_secret=90806337-bf10cf
