Seeing the human pulse
An algorithm that can accurately gauge heart rate by measuring tiny head movements in video data could ultimately help diagnose cardiac disease.
Finding a gecko in the crowd
A 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 quantifier
By helping biologists turn their hunches into rigorous mathematical models, Polina Golland builds software that interprets medical images.
Putting the ‘art’ in artificial intelligence
CSAIL associate professor develops AI systems that can interpret images.
Oliva explores new ground in computational perception at CSAIL
Neuroscientist looks forward to collaborative studies of visual perception in the brain and its computational applications.
Portable, super-high-resolution 3-D imaging
A simple new imaging system could help manufacturers inspect their products, forensics experts identify weapons and doctors identify cancers.
You can take it with you
A 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 edge
An 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 cheap
With a single piece of inexpensive hardware — a multicolored glove — MIT researchers are making Minority Report-style interfaces more accessible.
Seeing the forest for the trees
Object recognition systems that break images into ever smaller parts should be much more efficient and may shed light on how the brain works.