TY - GEN
T1 - Radiometric calibration with illumination change for outdoor scene analysis
AU - Seon, Joo Kim
AU - Frahm, Jan Michael
AU - Pollefeys, Marc
PY - 2008
Y1 - 2008
N2 - The images of an outdoor scene collected over time are valuable in studying the scene appearance variation which can lead to novel applications and help enhance existing methods that were constrained to controlled environments. However, the images do not reflect the true appearance of the scene in many cases due to the radiometric properties of the camera : the radiometric response function and the changing exposure. We introduce a new algorithm to compute the radiometric response function and the exposure of images given a sequence of images of a static outdoor scene where the illumination is changing. We use groups of pixels with constant behaviors towards the illumination change for the response estimation and introduce a sinusoidal lighting variation model representing the daily motion of the sun to compute the exposures.
AB - The images of an outdoor scene collected over time are valuable in studying the scene appearance variation which can lead to novel applications and help enhance existing methods that were constrained to controlled environments. However, the images do not reflect the true appearance of the scene in many cases due to the radiometric properties of the camera : the radiometric response function and the changing exposure. We introduce a new algorithm to compute the radiometric response function and the exposure of images given a sequence of images of a static outdoor scene where the illumination is changing. We use groups of pixels with constant behaviors towards the illumination change for the response estimation and introduce a sinusoidal lighting variation model representing the daily motion of the sun to compute the exposures.
UR - http://www.scopus.com/inward/record.url?scp=51949084602&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51949084602&partnerID=8YFLogxK
U2 - 10.1109/CVPR.2008.4587648
DO - 10.1109/CVPR.2008.4587648
M3 - Conference contribution
AN - SCOPUS:51949084602
SN - 9781424422432
T3 - 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
BT - 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
T2 - 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR
Y2 - 23 June 2008 through 28 June 2008
ER -