Google Plus Photos now offers a new form of auto-awesome, their service best known for adding snow to winter photos, sparkles to Christmas tree lights, and turning successive photos into animated gifs. This one is called “Smile” and it truly lives up to its name.
Smile looks for photos with people positioned identically and analyzes their smiles. If it finds smiles that are better (using their secret smilegorithm) in the various photos, it creates a new photo and merges the best smiles together.
My initial inclination was that it would run just as poorly as most red-eye removal filters, where something just seems off about the photos. I was wrong.
Below are two photos taken recently at a wedding in Sonoma. Above, you’ll find Google’s new photo created from the best smiles in the images below. Give it a try yourself by uploading various photos of you and your friends smiling and/or not smiling in photos. I’d love it if you can share your findings as well.
Perched at the window of his Cessna 172, photographer Klaus Leidorf crisscrosses the skies above Germany while capturing images of farms, cities, industrial sites, and whatever else he discovers along his flight path, a process he refers to as “aerial archaeology.” Collectively the photos present a fascinating study of landscapes transformed by the hands of people—sometimes beautiful, sometimes frightening. Since the late 1980s Leidorf has shot thousands upon thousands of aerial photographs and currently relies on the image-stabilization technology in his Canon EOS 5D Mark III which is able to capture the detail of single tennis ball as it flies across a court. You can explore over a decade of Leidorf’s photography at much greater reslution over on Flickr. All images courtesy the artist.
As fascinating as it is to see normal, everyday objects magnified 1,000x plus, it’s even more enjoyable to distance yourself from their identification and appreciate their texture, palette, composition, and beauty as stand-alone pieces of art.
These photo serve to supplement my William Legoullon’s Microscopic Drinks post from June 2012, and Caren Albert’s Food Photos, from July 2011. The original article was shared with me by sarak8, and discovered on ViralNova. I’ve narrowed them down to my favorite selections which are, like the sharer of this link, the most breath-taking. Unlike the original article, however, I’m choosing to hide the object of magnification to allow you the enjoyment of them detached from their object of origin. If you’re dying to know, hover over the image for tooltip or scroll to the bottom of the article for a list.
1. postage stamp, 2. banana slice, 3. blood clot, 4, human eyelash, 5. used dental floss, 6. football jersey, 7. guitar string, 8. needle and thread, 9. salt & pepper, 10. instant coffee crystal, 11. stitches on a dog’s skin, 12. toilet paper, 13. velcro, 14. analog audio groove on a vinyl record
In her Real Life Models series 19-year-old Hungarian photographer Flora Borsi imagines what the models of contorted and skewed paintings must have looked like if they were distorted in real life. Through some pretty hilarious photo manipulation Borsi examines the models for paintings by Kees van Dongen, Rudolf Hausner, and Picasso among others. The series is somewhat similar to photographer Eugenio Recuenco who re-imagined Picasso’s paintings as modern day fashion models. Several of Borsi’s works are now available as prints over on Saatchi Online.
A few weeks back, I came across this article on Mashable and shared it with my friend, Zeh. I thought Cristian Girotto, the guy responsible, was pretty talented and wondered if I could do it. Zeh’s response was that we could probably figure it out, but it would take a ton of time. And so, I challenged him. Zeh, being Zeh, naturally accepted. We swapped photos and got to work.
He was right. It took a ton of time. And I don’t think the product is close to the quality of Mr. Girotto’s work. But here’s my version of Young Zeh. Needless to say, I’m excited (and a bit frightened) to see how Zeh’s toddler photo of me comes out.