TY - JOUR
T1 - Guest Editorial Special Issue on Extreme Imaging
AU - Freeman, W. T.
AU - Savakis, A.
AU - Schechner, Y.
AU - Snavely, N.
AU - Heidrich, Wolfgang
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: The guest editors are grateful to the EIC Prof. William Clem Karl who was extremely supportive of this special issue and provided guidance throughout the process. The guest editors would like to thank the authors who contributed to this special issue and the reviewers who helped improve the manuscripts with their constructive comments and suggestions. The guest editors are thankful to Adrienne Fisher, IEEE publications coordinator, who provided support at every step of the review process. We hope that this special issue increases interest in extreme imaging and stimulates research in the field and the organization of future workshops and special issues.
PY - 2017/8/7
Y1 - 2017/8/7
N2 - The papers in this special section focus on the technology of extreme imaging. Includes papers presented at the Extreme Imaging Workshop at the International Conference on Computer Vision (ICCV 2015) as well as other selected papers. AS IMAGING matures and computing power increases, new methodologies and imaging modalities are emerging that can be labeled as “extreme.” The characterization “extreme” is in consideration to time scale, spatial extent, object size, illumination, dynamic range, processing speed, unconventional environments, data size, etc. What qualifies as extreme depends on the current state of the art, but the term captures the surprising jumps in scope or capabilities that are most exciting in imaging and vision.
AB - The papers in this special section focus on the technology of extreme imaging. Includes papers presented at the Extreme Imaging Workshop at the International Conference on Computer Vision (ICCV 2015) as well as other selected papers. AS IMAGING matures and computing power increases, new methodologies and imaging modalities are emerging that can be labeled as “extreme.” The characterization “extreme” is in consideration to time scale, spatial extent, object size, illumination, dynamic range, processing speed, unconventional environments, data size, etc. What qualifies as extreme depends on the current state of the art, but the term captures the surprising jumps in scope or capabilities that are most exciting in imaging and vision.
UR - http://hdl.handle.net/10754/625723
UR - http://ieeexplore.ieee.org/document/8003563/
U2 - 10.1109/tci.2017.2726838
DO - 10.1109/tci.2017.2726838
M3 - Article
SN - 2333-9403
VL - 3
SP - 382
EP - 383
JO - IEEE Transactions on Computational Imaging
JF - IEEE Transactions on Computational Imaging
IS - 3
ER -