CLOSE
Original image
"Nurse Ratched, One Flew Over the Cuckoo’s Nest, Ken Kesey" / Brian Joseph Davis

Police Sketches of Literary Characters Based on Their Book Descriptions

Original image
"Nurse Ratched, One Flew Over the Cuckoo’s Nest, Ken Kesey" / Brian Joseph Davis

It's a complaint you hear time and time again from readers when beloved books are adapted into films: The actors don't match the mental image conjured up by the book's description. So illustrator Brian Joseph Davis decided to see exactly what kind of faces those descriptions would create by using a law enforcement composite sketch software called FACES ID.

The images are shared to the artist's Tumblr blog, The Composites, along with the passages used to make them. In an interview with The Atlantic in 2012, Davis said that the project was inspired by fictional "Identikit" index cards created by author James Ellroy (used in his 2009 book, My Dark Places). In creating the images, Davis used "educated guesswork" to fill in the features that were not explicitly referenced in the texts. "It's a combination of literary criticism—which I know well—and forensics—of which I'm an utter amateur," he said. After using his own book collection for inspiration, Davis turned to e-books, and eventually online fan submissions.

The project has since been turned into a book of illustrations. Check out a few of the sketches and book quotes below and head to Davis's website to stay updated on new additions.

1. AOMAME // 1Q84 BY HARUKI MURAKAMI

Brian Joseph Davis

"5 feet 6 inches … Not one ounce of excess fat … The left ear much bigger than the right, and malformed, but her hair always covers her ears …Lips formed a tight straight line … Small narrow nose, somewhat protruding cheekbones, broad forehead, and long, straight eyebrows … [Face is a] Pleasing oval shape … Extreme paucity of expression."

2. DR. JEKYLL AND MR. HYDE // THE STRANGE CASE OF DR. JEKYLL AND MR. HYDE BY ROBERT LOUIS STEVENSON

Brian Joseph Davis

"To this rule, Dr. Jekyll was no exception; and as he now sat on the opposite side of the fire—a large, well-made, smooth-faced man of fifty, with something of a slyish cast perhaps, but every mark of capacity and kindness …The large handsome face of Dr. Jekyll grew pale to the very lips, and there came a blackness about his eyes.

"Mr. Hyde was pale and dwarfish, he gave an impression of deformity without any nameable malformation, he had a displeasing smile … thickly shaded with a swart growth of hair … corded and hairy … God bless me, the man seems hardly human! Something troglodytic … Edward Hyde was so much smaller, slighter, and younger than Henry Jekyll. Even as good shone upon the countenance of the one, evil was written broadly and plainly on the face of the other … The few who could describe him differed widely, as common observers will. Only on one point, were they agreed; and that was the haunting sense of unexpressed deformity with which the fugitive impressed his beholders."

3. SHERLOCK HOLMES // A STUDY IN SCARLET BY SIR ARTHUR CONAN DOYLE

Brian Joseph Davis

"His very person and appearance were such as to strike the attention of the most casual observer. In height he was rather over six feet, and so excessively lean that he seemed to be considerably taller. His eyes were sharp and piercing, save during those intervals of torpor to which I have alluded; and his thin, hawk-like nose gave his whole expression an air of alertness and decision. His chin, too, had the prominence and squareness which mark the man of determination."

4. THE MONSTER // FRANKENSTEIN BY MARY WOLLSTONECRAFT SHELLEY

Brian Joseph Davis

"As the minuteness of the parts formed a great hindrance to my speed, I resolved, contrary to my first intention, to make the being of a gigantic stature, that is to say, about eight feet in height, and proportionably large. After having formed this determination and having spent some months in successfully collecting and arranging my materials, I began … How can I describe my emotions at this catastrophe, or how delineate the wretch whom with such infinite pains and care I had endeavoured to form? His limbs were in proportion, and I had selected his features as beautiful. Beautiful! Great God! His yellow skin scarcely covered the work of muscles and arteries beneath; his hair was of a lustrous black, and flowing … but these luxuriances only formed a more horrid contrast with his watery eyes, that seemed almost of the same colour as the dun-white sockets in which they were set, his shrivelled complexion and straight black lips."

5. JACK TORRANCE // THE SHINING BY STEPHEN KING

Brian Joseph Davis

"Ullman folded his neat little hands on the desk blotter and looked directly at Jack, a small, balding man in a banker’s suit and a quiet gray tie … Danny’s face, so much like his own had been, his eyes had been light blue while Danny’s were cloudy gray, but the lips still made a bow and the complexion was fair … His eyes were far away and cloudy. His hair hanging in his eyes, like some heavy animal. A large dog … or a lion."

[h/t: FastCoCreate]

Original image
iStock // Ekaterina Minaeva
technology
arrow
Man Buys Two Metric Tons of LEGO Bricks; Sorts Them Via Machine Learning
May 21, 2017
Original image
iStock // Ekaterina Minaeva

Jacques Mattheij made a small, but awesome, mistake. He went on eBay one evening and bid on a bunch of bulk LEGO brick auctions, then went to sleep. Upon waking, he discovered that he was the high bidder on many, and was now the proud owner of two tons of LEGO bricks. (This is about 4400 pounds.) He wrote, "[L]esson 1: if you win almost all bids you are bidding too high."

Mattheij had noticed that bulk, unsorted bricks sell for something like €10/kilogram, whereas sets are roughly €40/kg and rare parts go for up to €100/kg. Much of the value of the bricks is in their sorting. If he could reduce the entropy of these bins of unsorted bricks, he could make a tidy profit. While many people do this work by hand, the problem is enormous—just the kind of challenge for a computer. Mattheij writes:

There are 38000+ shapes and there are 100+ possible shades of color (you can roughly tell how old someone is by asking them what lego colors they remember from their youth).

In the following months, Mattheij built a proof-of-concept sorting system using, of course, LEGO. He broke the problem down into a series of sub-problems (including "feeding LEGO reliably from a hopper is surprisingly hard," one of those facts of nature that will stymie even the best system design). After tinkering with the prototype at length, he expanded the system to a surprisingly complex system of conveyer belts (powered by a home treadmill), various pieces of cabinetry, and "copious quantities of crazy glue."

Here's a video showing the current system running at low speed:

The key part of the system was running the bricks past a camera paired with a computer running a neural net-based image classifier. That allows the computer (when sufficiently trained on brick images) to recognize bricks and thus categorize them by color, shape, or other parameters. Remember that as bricks pass by, they can be in any orientation, can be dirty, can even be stuck to other pieces. So having a flexible software system is key to recognizing—in a fraction of a second—what a given brick is, in order to sort it out. When a match is found, a jet of compressed air pops the piece off the conveyer belt and into a waiting bin.

After much experimentation, Mattheij rewrote the software (several times in fact) to accomplish a variety of basic tasks. At its core, the system takes images from a webcam and feeds them to a neural network to do the classification. Of course, the neural net needs to be "trained" by showing it lots of images, and telling it what those images represent. Mattheij's breakthrough was allowing the machine to effectively train itself, with guidance: Running pieces through allows the system to take its own photos, make a guess, and build on that guess. As long as Mattheij corrects the incorrect guesses, he ends up with a decent (and self-reinforcing) corpus of training data. As the machine continues running, it can rack up more training, allowing it to recognize a broad variety of pieces on the fly.

Here's another video, focusing on how the pieces move on conveyer belts (running at slow speed so puny humans can follow). You can also see the air jets in action:

In an email interview, Mattheij told Mental Floss that the system currently sorts LEGO bricks into more than 50 categories. It can also be run in a color-sorting mode to bin the parts across 12 color groups. (Thus at present you'd likely do a two-pass sort on the bricks: once for shape, then a separate pass for color.) He continues to refine the system, with a focus on making its recognition abilities faster. At some point down the line, he plans to make the software portion open source. You're on your own as far as building conveyer belts, bins, and so forth.

Check out Mattheij's writeup in two parts for more information. It starts with an overview of the story, followed up with a deep dive on the software. He's also tweeting about the project (among other things). And if you look around a bit, you'll find bulk LEGO brick auctions online—it's definitely a thing!

Original image
Nick Briggs/Comic Relief
entertainment
arrow
What Happened to Jamie and Aurelia From Love Actually?
May 26, 2017
Original image
Nick Briggs/Comic Relief

Fans of the romantic-comedy Love Actually recently got a bonus reunion in the form of Red Nose Day Actually, a short charity special that gave audiences a peek at where their favorite characters ended up almost 15 years later.

One of the most improbable pairings from the original film was between Jamie (Colin Firth) and Aurelia (Lúcia Moniz), who fell in love despite almost no shared vocabulary. Jamie is English, and Aurelia is Portuguese, and they know just enough of each other’s native tongues for Jamie to propose and Aurelia to accept.

A decade and a half on, they have both improved their knowledge of each other’s languages—if not perfectly, in Jamie’s case. But apparently, their love is much stronger than his grasp on Portuguese grammar, because they’ve got three bilingual kids and another on the way. (And still enjoy having important romantic moments in the car.)

In 2015, Love Actually script editor Emma Freud revealed via Twitter what happened between Karen and Harry (Emma Thompson and Alan Rickman, who passed away last year). Most of the other couples get happy endings in the short—even if Hugh Grant's character hasn't gotten any better at dancing.

[h/t TV Guide]

SECTIONS
BIG QUESTIONS
BIG QUESTIONS
WEATHER WATCH
BE THE CHANGE
JOB SECRETS
QUIZZES
WORLD WAR 1
SMART SHOPPING
STONES, BONES, & WRECKS
#TBT
THE PRESIDENTS
WORDS
RETROBITUARIES