Computer vision

Finding a gecko in the crowdA combination of crowdsourcing and computer vision could identify individuals within endangered populations.

Is that smile real or fake?A computerized system developed at MIT can tell the difference between smiles of joy and smiles of frustration.

The quantifierBy helping biologists turn their hunches into rigorous mathematical models, Polina Golland builds software that interprets medical images.

Putting the ‘art’ in artificial intelligenceCSAIL associate professor develops AI systems that can interpret images.

Madrid-MIT M+Visión Consortium convenes inaugural Boston open house

Oliva explores new ground in computational perception at CSAILNeuroscientist looks forward to collaborative studies of visual perception in the brain and its computational applications.

Portable, super-high-resolution 3-D imagingA simple new imaging system could help manufacturers inspect their products, forensics experts identify weapons and doctors identify cancers.

You can take it with youA new system lets you transfer open applications between a computer and a cellphone simply by pointing the phone’s camera at the computer’s screen.

Finding an edgeAn algorithm for identifying the boundaries of objects in digital images is 50,000 times more efficient than its predecessor.

What makes an image memorable?Hint: We tend to remember pictures of people much better than wide open spaces.

Gesture-based computing on the cheapWith a single piece of inexpensive hardware — a multicolored glove — MIT researchers are making Minority Report-style interfaces more accessible.

Seeing the forest for the treesObject recognition systems that break images into ever smaller parts should be much more efficient and may shed light on how the brain works.