Non-line-of-sight (NLOS) imaging is an emerging field of research with applications for autonomous vehicle collision avoidance, search and rescue operations, endoscopy, and others. This problem is challenging because NLOS objects are outside of the line-of-sight (LOS) of both the camera and the illumination source(s). Traditionally NLOS reconstruction requires expensive, bulky and specialized detectors. This work
Faculty Mentor: Suren Jayasuriya
Video Motion Magnification to Enhance Speech of Patients with Deteriorated Speaking Ability
The project aims at using degraded speech as well as visual information to improve speech generation. ALS and Parkinson’s are one of the more dreadful diseases where people lose the ability to move their muscles leading to poor articulation and respiration, as well as slurred and slowed speech which may be hard to understand. As
Optimizing and Evaluating Real-time Illumination Estimation for Mixed Reality
Power-efficient real-time illumination estimation will improve the appearance of mobile virtual reality worlds.
