|
|
 | | From: | Ufit | | Subject: | 2D video into 3D space | | Date: | Fri, 21 Jan 2005 18:47:46 -0800 |
|
|
 | I was wondering if there are any algorithms converting f.ex. a sequence of video frames into 3D objects. Or at least trying to do that. Are there any programs allowing that? Thanks.
UFT
|
|
 | | From: | Arthur J. O'Dwyer | | Subject: | Re: 2D video into 3D space | | Date: | Fri, 21 Jan 2005 22:25:00 -0500 (EST) |
|
|
 | On Fri, 21 Jan 2005, Ufit wrote: > > I was wondering if there are any algorithms converting f.ex. a sequence > of video frames into 3D objects. Or at least trying to do that. Are > there any programs allowing that? Thanks.
Please use lines of at most 75 characters (and preferably 65) on Usenet. Re-formatting a badly broken posting takes time.
Do you mean that you have something like an MRI scan (or what passes for such a scan in Hollywood movies;) and you want to turn it into a solid object, in the reverse of the process that produced this video? http://www.coppit.org/brain/topbottomslice.mpg In that case, I'd suggest keywords "image segmentation" and "voxels", or "edge detection" and "mesh generation". See for example http://www.cs.berkeley.edu/~jrs/mesh/
Or do you mean that you have something like a video shot with a video camera out of a car window, or a series of pictures of a rotating object in space, and you want to reconstruct its shape by looking at how features move in parallax? In that case, I'd suggest keywords "feature detection [extraction]", "feature tracking", and "structure from motion". See for example http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OWENS/LECT12/node5.html
HTH, -Arthur
|
|
 | | From: | Ufit | | Subject: | Re: 2D video into 3D space | | Date: | Fri, 21 Jan 2005 22:03:56 -0800 |
|
|
 | "Arthur J. O'Dwyer" wrote in message news:Pine.LNX.4.60-041.0501212210060.18253@unix44.andrew.cmu.edu... > > Or do you mean that you have something like a video shot with a > video camera out of a car window, or a series of pictures of a rotating > object in space, and you want to reconstruct its shape by looking at > how features move in parallax? In that case, I'd suggest keywords > "feature detection [extraction]", "feature tracking", and "structure > from motion". See for example > http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OWENS/LECT12/node5.html > Yes - exactly the above one. Shape reconstruction was my interest. It'd be nice to check it with some complete program or source code I'm gonna research that. Thanks A.J.
U
|
|
|