Face Recognition - Real or Science Fiction?
An anonymous reader writes "Facial recognition software has been touted as one of the technologies that will change our future, particularly in law enforcement. How close are we to being recognized by a computer anywhere we go, as portrayed in movies like Minority Report? According to the industry's recent Public Relations releases, these products are closer than we think.
The reality though, is that current products work only when utilizing a small comparative sample, and any attempts for an individual to disguise themselves typically throw off the results. To see how far this technology needs to go before becoming mainstream, one site utilized Government-tested face recognition software, available freely through MyHeritage.com, to compare hundreds of famous people, animals, and cartoons to a database of 2,000 celebrities. Some of the results showed promise for the technology, but most were just funny — for example, who would mistake Barbara Streisand for Shrek, or Lance Bass of N'Sync for a Teletubby?"
"who would mistake Barbara Streisand for Shrek, or Lance Bass of N'Sync for a Teletubby?"
I think it's more a question of 'how many beers' than of 'who.'
After working in computer vision for 5 years I've realized that most problems aren't hard - they are not well defined. Mathematically face recognition is not a problem that can be stated.
Many other problems in CV are like this - edge detection, segmentation, etc. But people write hacks that work in restricted conditions and say they've solved.
And look, you could always just put on those Groucho Marx glasses.
Not to nitpick excessively, but you could easily substitute portions of this article with terms like (and relating to) “Internet”, “personal computer”, “telephone”, “car”, and others. Asking ourselves if a technology is “real or science fiction” when it already exists (albiet in a primitive form) is silly. Of course it exists; the question itself cites examples. Perhaps the meaningful questions might be along the lines of: “what are the challenges associated with making it accurate?” or “what impact will facial recognition have on society?”
Why bother.