MIT researchers have demonstrated an algorithm that analyzes photos of a real world scene and then generates an incredibly-effective camouflage pattern to wrap objects later placed in that location. From MIT News:
According to Andrew Owens, an MIT graduate student in electrical engineering and computer science and lead author on the new paper, the problem of disguising objects in a scene is, to some degree, the inverse of the problem of object detection, a major area of research in computer vision.
"Often these algorithms work by searching for specific cues — for example they might look for the contours of the object, or for distinctive textures." Owens says. "With camouflage, you want to avoid these cues — you don't want the object's contours to be visible or for its texture to be very distinctive. Conceptually, a cue that would be good for detecting an object is something that you want to remove.”
Simone C. Niquille's REALFACE Glamoflage shirts are designed to confound Facebook's face-recognition software by covering you in famous faces when you venture into public. The project was sparked by a(nother) privacy-undermining Facebook terms-of-service change, this one allowing the company to auto-tag the people in the photos you upload. The shirts were part of FaceValue, a master's thesis in design at the Sandberg Institute in Amsterdam, and Niquille's explanation of her work is fascinating:
Roger Hanlon is a scientist at the Marine Biological Laboratory in Woods Hole, Massachusetts. He studies cephalopods—octopus, squid, and cuttlefish. Specifically, he studies the way these animals change their skin color and texture to match with their surroundings.
In this video segment from NPR's Science Friday, you can see more of Hanlon's videos of camouflaged cephalopods. There's also some great up-close footage of chromatophores—the special cells that allow cephalopods to change their color and shape.