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| RI | Seminar | September 19 |
Robotics
Institute Seminar, September 19
Time
and Place | Seminar
Abstract | Speaker
Biography | Speaker
Appointments
High dynamic range video
Sing Bing Kang
Microsoft Research
Time and
Place
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).
Speaker
Appointments
For appointments, please contact Sanjiv Singh ( ssingh@ri.cmu.edu)