Volumetric Light Transport for Vision and Graphics


March 30, 2009


Srinivasa Narasimhan


Carnegie Mellon University


This talk will demonstrate how to model, measure, interpret and control light transport in volumetric media such as murky water, bad weather, and translucent materials. Historically, the field of computer vision has focused on a specific type of light transport — direct surface reflection from opaque surfaces immersed in vacuum. We will show several applications where volumetric light transport must be taken in to account:

  1. Controlling illumination to increase visibility underwater, (b) controlling the focus of illumination to acquire shapes of objects that exhibit strong global illumination effects such as subsurface scattering and interreflections, (c) real-time rendering of fog, haze and rain to be used for movies and video games, and, (d) measuring optical properties of every day liquids such as wines, milks, juices, particulate solutions, ocean water, etc.


Srinivasa Narasimhan

Srinivas Narasimhan is an Assistant Professor in the Robotics Institute at Carnegie Mellon University. He received his Masters and Doctoral degrees in Computer Science with distinction from Columbia University in 2000 and 2004 respectively. His research interests are in light transport analysis and computational illumination and imaging for applications in vision, graphics and robotics. His work on vision in bad weather received a Best Paper Honorable mention award in IEEE CVPR 2000 and his work on medical endoscopy received the Adobe Best Paper award in the IEEE Workshop on Photometric Analysis in Computer Vision (ICCV 2007). He received the NSF CAREER award in 2007.