MuscleRehab is a system that uses electrical impedance tomography and optical motion tracking for visualizing muscle engagement and motion data during unsupervised physical rehabilitation.

Researchers develop a new method that uses multiple models to create more complex images with better understanding.

Inspired by a fiddler crab eye, scientists developed an amphibious artificial vision system with a panoramic visual field.

Caption:

MIT researchers have trained a machine-learning model to monitor and adjust the 3D printing process in real-time.

MIT researchers create KineCAM, an instant camera that yields images that appear to move.

Caption:

Researchers created a computer vision system that combines two types of correspondences for accurate pose estimation across a wide range of scenarios to "see-through" scenes.

Researchers have created prototypes that enable screen-reader users to quickly and easily navigate through multiple levels of information in an online chart.

A new neural network approach captures the characteristics of a physical system’s dynamic motion from video, regardless of rendering configuration or image differences.

MIT CSAIL scientists created an algorithm to solve one of the hardest tasks in computer vision: assigning a label to every pixel in the world, without human supervision.