Sing Bing Kang
Microsoft Research
Mauldin Auditorium (NSH 1305)
Refreshments 3:15 pm
Talk 3:30 pm
Typical video footage captured using an off-the-shelf camcorder suffers
from limited dynamic range. In this talk, I will describe our approach
to generate high dynamic range (HDR) video from an image sequence of a
dynamic scene captured while rapidly varying the exposure of each frame.
Our approach consists of three parts: automatic exposure control during
capture, HDR stitching across neighboring frames, and tonemapping for
viewing. HDR stitching requires accurately registering neighboring
frames and choosing appropriate pixels for computing the radiance map. I
will show examples for a variety of dynamic scenes, and will dwell a bit
on the specific application of a virtual walkthrough. I will also
describe how we can compensate for scene and camera movement when
creating an HDR still from a series of bracketed still photographs.
This talk is based on joint work with Matthew Uyttendaele, Simon Winder,
and Richard Szeliski. Our work was recently presented at SIGGRAPH'03.
Sing Bing Kang received his Ph.D. in robotics from CMU in 1994. He is
currently a researcher at Microsoft Corporation
working on environment modeling from images. His paper on the Complex Extended Gaussian Image won
the IEEE Computer Society Outstanding Paper award at CVPR'91. His IEEE
Transactions on Robotics and Automation paper on human-to-robot hand
mapping was awarded the 1997 King-Sun Fu Memorial Best Transaction
Paper award. Sing Bing has published about 20 refereed journal papers
and about 45 refereed conference papers, mostly on stereo and
image-based rendering. He also holds 11 US patents, and has co-edited a
book on panoramic vision (published by Springer in 2001).
For appointments, please
contact Sanjiv Singh (
ssingh@ri.cmu.edu)
The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.
