Using Computers To Weed Out Art Fakes
jackelfish writes "Reminiscent of handwriting analysis software used in the television series CSI, computers are now being used to evaluate the authenticity of works of art without an expert ever setting eyes on it. The technique identifies the artist by analyzing their characteristic brush or pen strokes from high resolution scans of previously authenticated works. Much like a fingerprint, these characteristics can then be compared to a work in question. The method, to be published in an upcoming issue of the Proceedings of the National Academy of Sciences promises to reduce the subjectivity of art assessments made by human experts."
Extrapolate all that data about each artist's technique, then turn around and paint a bunch of "authentic" art "authored" by those masters.
They already have "pencil sketch", "charcoal sketch", and "regular photo" settings at the picture booths down at your local mall. It's just a matter of running a filter over an original image and reproducing the image with the desired effects.
If they have the filter database built for each master, how hard would it be to have it Markov chain an image with that data?
This seems like the wrong direction if they want to authenticate images.
While a statistical analysis of paintings can identify the style of a painter, who is to say that the artist didn't have a change of mood while working on a painting? Or was drinking too much absinthe?
Painters often change their moods/styles.
because unlike fingerprints an artists style and brushstrokes change over time. Go try comparing an early DaVinci with one of this later paintings. If using the early work as a control the later works would be considered fakes, and vice versa if using later works as a control.
i'll have to read more on the method, but i'm skeptical of most art classification systems. I'm also curious what exactly it is that they're learning from the peices of artwork they're generalizing over (yes yes, i'll have to RTFP), hopefully they're not doing what was done with early artificial neural networks that is, simply letting the algorithm decide what unconstrained features it found common across all the paintings.
or in other words, sounds like it's not too shabby with recall. so what's its precision?
There are lives at stake here!
I think they could even guess what year a painting was painted just with the fractal depth. It turns out the fractal depth of his paintings gradually increased over the years.
This reminds me strongly of a talk I went to by Richard Taylor, a physics prof at the University of Oregon. He's determined that Jackson Pollock's paintings are fractal in nature, and is one of the people contacted when a new painting of his turns up. So far, he's been in total agreement with expert opinion. An interesting note is that Pollock got to a "sweet spot" of what Taylor calls "drip fractal dimension" of ~1.6-1.7, whereas nature is around about 1.2-1.3. Pollock, Taylor said, seemed to want to challenge the viewer with more intense fractal patterns. He could get higher drip fractal dimensions, to a value of greater than 2, but he decided it was too far and painted over it--too challenging or something. This was something mentioned in Taylor's talk, not in the link. Anyway, it was a really interesting talk that's made me look for repeating patterns in nature when I'm out hunting or something, and gave me a greater appreciation for Pollock's paintings, which always used to look like...er...Jackson Pollocks to me. Also Taylor talked about how fractal nature seems to be appealing and relaxing to us, with our mood improved if there are either real plants or large photographs of natural scenes around our cube farms--which are incredibly unfractal like and horridly plain and repetitive.
It's plausable to find simalarities in a painting from one to another. You can get a fair match most of the time. But you would need a large sample over the life of an artist. How will illness, age, drunkenness, absenth and other drugs effect the painting style of a artist? Really I can't place too much faith in the tech here. The old standard of Carbon Dating would be more effective. Sorry try again.
Sorry about the writing. Robot fingers, you know? Cliff Steele in DOOM PATROL #23
Obviously that's how they could determine that their model had good prediction. If they didn't have the dates they could not have tested their theory.
I had a friend, a painter and sculptor. (If he is still alive, he would be 102 this year.) During his artistic career over 7 dekades he changed his techniques dramatically several times. Some artists are permanently seeking something new instead of mining money on salon style du jour.
There you are, staring at me again.
Try this found in one of the papers.
If you know what to look for you should get a ten out of ten on your first go, and there is no way you'd be able to apply a 'filter' to get realistic results on the CG images.
I found the nails, screws images hardest, the others were strightforward, look at the depth of field and the detail on the nail/screw head.
The bonus round's a little harder, mainly becauase they've picked very CG looking images, not realy a good add for 'realism' in maya.
thank God the internet isn't a human right.