RIM@GT Special Seminar
Taming the Complexity of Light TransportSrinivasa Narasimhan Robotics Institute at Carnegie Mellon University http://www.cs.cmu.edu/~srinivas/ Date: April 2, 2012 (Monday) Time: 4:30pm Location: Klaus 2456
Underlying most of computer vision research is a model of how light interacts with a scene and then reaches a camera to form images. Light propagates through a scene in complex ways: inter-reflections between scene points, diffusion beneath the surface of translucent materials like skin and marble, and scattering through media like the atmosphere and murky water. Despite this complexity, the vision community has historically defined the brightness of a pixel in the image as solely due to the light reflected from a single point in the world. Modeling this wide variety of optical phenomena is crucial for effective scene understanding in real-world environments. This talk will present computational imaging and illumination techniques to control and tame the complexity of light transport for many applications in the areas of computer vision, graphics, displays and robotics.
Srinivasa Narasimhan is an Associate Professor in the Robotics Institute at Carnegie Mellon University. He received his Masters and Doctoral degrees in Computer Science from Columbia University in Feb 2000 and Feb 2004. His group focuses on novel techniques for imaging, illumination and light transport to enable applications in vision, graphics, robotics and medical imaging. His works have received several awards: the NSF CAREER Award (2007), the Okawa Research Grant (2009), IEEE Best Paper Honorable Mention Award (CVPR 2000), Adobe Best Paper Award (IEEE Workshop on Physics based methods in computer vision, ICCV 2007) and Best Paper Award (IEEE PROCAMS 2009). His research has been covered in popular press including NY Times, PC magazine and IEEE Spectrum. He co-chaired the ONR International Symposium on Volumetric Scattering in Vision and Graphics in 2007, the IEEE Workshop on Projector-Camera Systems (PROCAMS) in 2010, and the IEEE International Conference on Computational Photography (ICCP) in 2011, and serves on the editorial board of the International Journal of Computer Vision.