11:15 am, FMI 02.09.023 (MI-Building, Campus Garching)

Abstract:
This talk presents a study of the in-camera imaging process through an
extensive analysis of more than 10,000 images from over 30 cameras.
The goal is to investigate if output image values (i.e. sRGB) can be
transformed to physically meaningful values, and if so, when and how
this can be done. From our analysis, we show that the conventional
radiometric model fits well for image pixels with low color saturation
but begins to degrade as color saturation level increases. This is due
to a color mapping process which includes gamut mapping in the
in-camera processing that cannot be modeled with conventional methods.
To address this issue we introduce a new imaging model for radiometric
calibration together with an effective calibration scheme that allows
us to compensate for the nonlinear color correction to convert
non-linear sRGB images to CCD RAW responses.

Bio:
Michael S. Brown obtained his BS and PhD in Computer Science from the
University of Kentucky in 1995 and 2001 respectively. He is currently
an Associate Professor and Assistant Dean (External Relations) in the
School of Computing at the National University of Singapore. Dr. Brown
regularly serves as an area-chair for the major Computer Vision
conferences (ICCV, CVPR, ECCV and ACCV) and is currently an Associate
Editor for IEEE TPAMI. His research interests include Computer Vision,
Image Processing and Computer Graphics. More details can be found
here: www.comp.nus.edu.sg/~brown

contact person:
----------------
Daniel Cremers
phone: 089/ 289-17755
Email: cremers@in.tum.de