Re: Searching with Images instead of Words
Expecting a front view of an image to match with a side view of the same image is impossible. They are both disjoint sets of information. If all the images are frontal images, we can match them with a hight probability, otherwise I doubt this technology has a future. I think it definitely has a future. I'm a bit skeptical about whether it's a _near_ future, though It sounds especially possible for specific classes of pictures, such as outdoor locations in major cities. Bill Stewart [EMAIL PROTECTED]
Re: Searching with Images instead of Words
Expecting a front view of an image to match with a side view of the same image is impossible. They are both disjoint sets of information. If all the images are frontal images, we can match them with a hight probability, otherwise I doubt this technology has a future. You are applying pure logic to a very complex subject. I'd bet this is already routinely done by TLAs and whatnot, at least as a pre-screen before human photograph inspectors. The most obvious hole in your statement is with respect to 2D Spatial FFTs of the image...you can probably greatly increase your match probability via certain masking criteria applied to the 2D FFT. And from there there's lots of stuff that can be done with colors and other indirect stuff such as (perhaps) camera signatures in the photo (eg, If there's text that says "Hamamatsu Synchroscan Streak Camera" then don't bother doing the FFT--it ain't a picture of your dog). Look...a human being can recognize the side image of a person a lot of the time. There should be no reason this intelligence can't be encoded somehow. -TD
Re: Searching with Images instead of Words
hi, They had been researching on this line in Indian Institue of Science, Bangalore. I think image searching has fundamental limits. For successfully matching two images, there should be a subset of information in both that totally match or match with a high probability. Expecting a front view of an image to match with a side view of the same image is impossible. They are both disjoint sets of information. If all the images are frontal images, we can match them with a hight probability, otherwise I doubt this technology has a future. Sarad. --- Eugen Leitl <[EMAIL PROTECTED]> wrote: > > Link: > http://slashdot.org/article.pl?sid=05/01/13/184226 > Posted by: CmdrTaco, on 2005-01-13 20:29:00 > >from the blessing-for-those-who-can't-spell dept. >[1]johnsee writes "A computer vision researcher > by the name of Hartmut >Neven is [2]developing ingenious new technology > that allows the >searching of a database by submitting an image, > for example, off a >mobile phone camera. Imagine taking a photo of a > street corner to find >out where you are, or the photo of a city > building to see its history" > >IFRAME: [3]pos6 > > References > >1. http://www.sandstorming.com/ >2. > http://www.thefeature.com/article?articleid=101341&ref=5147543 >3. > http://ads.osdn.com/?ad_id=2936&alloc_id=13732&site_id=1&request_id=9329739 > > - End forwarded message - > -- > Eugen* Leitl http://leitl.org";>leitl > __ > ICBM: 48.07078, 11.61144 > http://www.leitl.org > 8B29F6BE: 099D 78BA 2FD3 B014 B08A 7779 75B0 2443 > 8B29 F6BE > http://moleculardevices.org > http://nanomachines.net > > ATTACHMENT part 2 application/pgp-signature __ Do you Yahoo!? The all-new My Yahoo! - Get yours free! http://my.yahoo.com
