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Pollock or Not? Can Fractals Spot a Fake Masterpiece?: Scientific American
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Roger Bagula
2007-11-02 16:02:08 UTC
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ScientificAmerican.com

October 31, 2007

Pollock or Not? Can Fractals Spot a Fake Masterpiece?

Complex geometric patterns turn up in non-Pollock drip paintings

A new study attacks the technique of using fractals, the repeating
patterns found in everything from coastlines to fern fronds, to help
distinguish authentic Jackson Pollock drip paintings from paint
splattered by lesser hands.

In a paper submitted for publication to a major physics journal,
researchers report that previously published criteria for identifying
genuine Pollocks based on the presence of fractals—patterns that recur
in varying sizes like Russian dolls nested inside one another—would
wrongly grant Pollock status to a pair of amateur drip paintings.

Some researchers, however, are skeptical that the new method faithfully
replicates that of University of Oregon physicist Richard Taylor, who
first reported eight years ago that five Pollock paintings contained
distinctive splatters within splatters, which he has attributed to the
way "Jack the Dripper" swayed over the canvas while dribbling paint from
brushes, sticks or straight from the can.

The Pollock–Krasner Foundation, which represents the estates of Pollock
and his wife Lee Krasner, commissioned Taylor last year to examine six
of 32 alleged Pollock drip paintings for fractal clues as to whether the
master dripper (dead since 1956) had truly created them; the paintings,
discovered in 2003, turned up fractalless.

Upon learning the news, physicists Katherine Jones–Smith and Harsh
Mathur of Case Western Reserve University in Cleveland, Ohio, published
their own Nature paper reporting the discovery of a similar fractal
signature in quick sketches of different size stars or circles.

Jones–Smith had drawn the images two years earlier while preparing a
presentation on Taylor's work, which she initially believed was correct.
Much to her surprise, she discovered that her unsophisticated images
contained seemingly identical fractal patterns.

To rebut the obvious counterargument—that stars look nothing like drip
paintings—she, Mathur and Case Western cosmologist Lawrence Krauss have
now analyzed three known Pollock drip paintings that Taylor had not
examined in detail: Free Form (1946), Untitled (circa 1950) and Wooden
Horse: Number 10A, 1948.

After using one of two separate computer techniques to isolate splatter
marks of different colors, the researchers scanned for fractals in each
layer of color by digitally counting colored pixels (or boxes) of
various sizes. In this type of fractal, the number of boxes of each size
relates to the box size raised to a power that holds constant over a
range of sizes.

None of the Pollocks met stringent fractal criteria, although Free Form
did satisfy what they consider a loose definition of a fractal and
Wooden House failed its test in only two of six colors, they report in
their paper submitted to Physical Review Letters, which has yet to be
reviewed by other scientists.

Further complicating matters, the researchers identified fractals in two
drip paintings created for the study by students [see image above]. They
next examined two of the alleged Pollocks studied by Taylor, one of
which, chosen for its resemblance to Free Form, passed the loose fractal
test, whereas the other, resembling Wooden Horse, failed the test.

The new results clash with a 2006 Pattern Recognition Letters paper in
which Taylor and colleagues reported identifying an identical fractal
pattern in 14 known Pollocks but not among 37 drip paintings by
University of Oregon undergraduates or 14 paintings of unknown origin
thought to date to Pollock's era.

"Our position," Mathur says, "is that fractal analysis doesn't allow you
to have a position" on the authenticity of a Pollock.

Hany Farid, a professor of computer science at Dartmouth College in New
Hampshire who has followed the debate, says he sees flaws in the new
study. "I think they took a fairly simplistic way of separating those
colors," which he says could have skewed their results.
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Taylor argues that the researchers applied his fractal criteria
incorrectly on Untitled and notes that their Wooden Horse analysis
hinges on paint covering less than 5 percent of the canvas, which makes
drawing conclusions tricky.

Moreover, he says, the group's conclusion turns on a misconception.
"There's an image out there of fractal analysis where you send the image
through a computer and if a red light comes on it means it isn't a
Pollock and if a green light comes on it is. We have never supported or
encouraged such a mindless view."

Even if the new results are correct, Farid says, fractal analysis can
still serve as one piece of evidence in the broader puzzle of
authentication, which also involves historical and aesthetic judgments.
Earlier this year, for example, a Harvard team reported that two
pigments found in the 32 alleged Pollocks were not used in paints before
1996 and 1971.

"None of these tools stands by itself," Farid says.

Owners of authentic Pollocks, however, do stand to make a lot of money.
Last year, the Pollock painting No. 5, 1948, was reportedly sold to a
Mexican financier for a record $140 million.

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Roger Bagula
2007-11-08 23:16:48 UTC
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http://www.eurekalert.org/pub_releases/2007-11/uoh-cla110507.php
[ Back to EurekAlert! ] Public release date: 5-Nov-2007
[ | E-mail Article ]

Contact: Amir Gilat
***@univ.haifa.ac.il
972-482-40092
University of Haifa
Computers learn art appreciation
Is it really a Van Gogh?

A new mathematical program developed in the Department of Computer
Sciences at the University of Haifa will enable computers to "know" if
the artwork you are looking at is a Leonardo da Vinci original, as the
seller claims, or by another less well known artist. "The field of
computer vision is very complex and multifaceted. We hope that our new
development is another step forward in this field," said Prof. Daniel
Keren who developed the program.

Through this innovation, the researchers "taught" the computer to
identify the artworks of different artists. The computer learned to
identify the artists after the program turned the drawings of nature,
people, flowers and other scenes to a series of mathematical symbols,
sines and cosines. After the computer "learns" some of the works of each
artist, the program enables the computer to master the individual style
of each artist and to identify the artist when looking at other works –
works the computer has never seen. According to Prof. Keren, the program
can identify the works of a specific artist even if they depict
different scenes. "As soon as the computer learns to recognize the clock
drawings of Dali, it will recognize his other paintings, even without
clocks. As soon as the computer learns to recognize the swirls of Van
Gogh, it will recognize them in pictures it has never seen before."

This new development is a step forward in the field of computer vision.
According to Prof. Keren, this field is still inferior to human vision.
"Human vision has undergone evolution of millions of years and our field
is only 30 years old. At this stage computers still have difficulty
doing things that are very simple for people, for example, recognizing a
picture of a human face. A computer has difficulty identifying when a
picture is of a human face or how many faces are in a picture. However,
computers are very good at simulating and sketching 3 dimensional images
like the arteries in the brain or a road network."

At present, the new program can be helpful to someone who appreciates
art, but not to a real expert in the field. If you are a novice who paid
a hefty price for a picture that the seller claimed is an exact copy of
a Da Vinci, the program can tell you if you wasted your money or made a
smart purchase.

###


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Roger Bagula
2007-12-10 17:17:28 UTC
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http://www.sciencedaily.com/releases/2007/11/071125114847.htm
Web address:
http://www.sciencedaily.com/releases/2007/11/
071125114847.htm
Researchers End Debate Over Fractal Analysis Of Authentication Of
Pollock's Art

Alexandra Ash and Michael Hallen study Jackson Pollock's drip painting
method. (Credit: Image courtesy of Case Western Reserve University)

ScienceDaily (Nov. 26, 2007) — When art experts and scientists gather on
November 28 to talk about Jackson Pollock's work, Case Western Reserve
University physicist Lawrence Krauss, the Ambrose Swasey Professor of
Physics and Astronomy, will be among the invited guests to the
symposium, sponsored by the International Foundation for Art Research in
New York City. The program will take place at the National Academy of
Design, and the gathering will examine science issues related to
authenticating Jackson Pollock's work.

The university's physicists recently "put the nail in the coffin" in the
debate about using fractal analysis in authenticating art as they
completed a second study related to fractal analysis and Jackson
Pollock's drip paintings.

The debate over the veracity of fractal authentication ignited after
fractal analysis was applied to a cache of paintings discovered by Alex
Matter that may be works of Pollock.

"No information about artistic authenticity can be gleaned from fractal
analysis," said Katherine Jones-Smith, lead author of the study. The
researchers, which include physicists Jones-Smith and her collaborators
Harsh Mathur and Lawrence Krauss, subjected seven paintings to fractal
authentication and found that the fractal characteristics of a painting
are completely uncorrelated to the artist. Their analysis includes three
famous paintings by Pollock, two paintings from the Matter cache and two
paintings made earlier this year by Case Western Reserve undergraduates
Alexandra Ash and Michael Hallen.

In the process of analyzing art, the researchers discovered some new
fractal mathematics and developed a process for separating the colored
layers of paint in art works.

Fractal analysis involves placing a grid over an image to search for
replications of geometric patterns. In this case, it also involved color
separation and an analysis of each layer of paint. The data is plotted
on a graph and a "box-counting curve" that resembles a staircase is
generated. This curve is inspected to see if it meets the fractal
authentication criteria.

The fractal authentication criteria were developed by University of
Oregon physicist Richard Taylor in a series of publications beginning
with a 1999 Nature article. Taylor announced

in 2006 that none of the six paintings that he analyzed from the Matter
cache were authentic, according to his criteria.

Later that year in an article published in Nature, Jones-Smith and
Mathur reported that scribbles made by Jones-Smith using Adobe Photoshop
also satisfied fractal authentication criteria, making them equal to
Pollocks in mathematical complexity. That a drawing resembling a child's
picture of stars passed Taylor's fractal test and rose to the status of
a Pollock cast serious doubt on the validity of fractal analysis as an
authentication tool.

The next step was to see if real Pollocks, and paintings that resemble
real Pollocks, would pass the fractal test, said Jones-Smith, and that
is the focus of the researchers' most recent report, has been posted on
the Physics Arxiv Web site for physics research and submitted to
Physical Review Letters for consideration. The authentic Pollock works
studied by the team included "Free Form" (1946), "The Wooden Horse:
Number 10A, 1948" (1948), and "Untitled" (ca 1950). The team found that
two of the three paintings fail to satisfy Taylor's criteria, even
though they are known to be authentic.

Then they found that two paintings, created earlier this year by Ash and
Hallen, do pass the fractal authentication test. Finally they analyzed
two paintings from the Matter cache and found that one passes the test
and one failed.

Jones-Smith said, "Known Pollock paintings, hanging in museums and worth
millions of dollars, don't pass Taylor's criteria, and then there are
the paintings by these students that do pass, even though they are
definitely not by Pollock."

As far as the paintings in the Matter cache go, the debate is far from
over. The 32 paintings, made public in 2005, were discovered among the
personal effects of the late Herbert Matter, a close friend of
Pollock's. According to Matter's records, the paintings were done by
Pollock.

Other scientists from Harvard University have disputed the paintings
origins by dating some of the materials as being patented in the U.S.
after Pollock's death in 1956.

"I think it is more appealing that Pollock's work cannot be reduced to a
set of numbers with a certain mean and certain standard deviation," said
Jones-Smith.

"The mystique that is part of the human experience is not so simply
classified and makes the tragedy of our existence more interesting,"
said Krauss.

What started as artistic research did yield new mathematical findings
about fractals. Mathur said they discovered that the statistics of
box-counting curves and related staircases provide a new way to
characterize geometry and distinguish fractals from Euclidean objects.
They explored how the steps in the staircases deviated from a smooth
box-counting curve to determine whether an object is fractal or Euclidean.

"Aside from resolving this art matter, these considerations have lead to
interesting scientific considerations," said Krauss. "It is nice that
consideration of the world of art has caused one to think about problems
that are relevant in a more general way in physical system."

Adapted from materials provided by Case Western Reserve University.
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Case Western Reserve University (2007, November 26). Researchers End
Debate Over Fractal Analysis Of Authentication Of Pollock's Art.
ScienceDaily. Retrieved December 10, 2007, from
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