New computational cameras and projectors form the convergence of optics, electronics and signal processing to extract more information about the visual world around us. In this talk, I will introduce my group's research on new types of imaging devices, systems and algorithms. This includes pixels that can capture 3D information and refocus an image after it has been captured, as well as a new projector-camera system that selectively parses the light transport in a scene, able to visualize multiple bounce light and see through human skin. All this research points to exciting new opportunities for physics-based imaging and vision in our visual computing systems of the future.
Suren Jayasuriya is an assistant professor at Arizona State University, in the School of Arts, Media and Engineering and Electrical, Computer and Energy Engineering. Before this, he was a postdoctoral fellow at the Robotics Institute at Carnegie Mellon University. Suren received his PhD in electrical and computer engineering at Cornell University in January 2017 and graduated from the University of Pittsburgh in 2012 with a BS in mathematics (with departmental honors) and a BA in philosophy. His research interests are in computational imaging/photography, computer vision, sensors and education research. He received the 2013 NSF Graduate Research Fellowship, the 2015 Qualcomm Innovation Fellowship, the 2015 Cornell ECE Outstanding TA award and the best paper at ICCP 2014. Visit his website at https://web.asu.edu/imaging-lyceum.