TY - JOUR
T1 - Snapshot difference imaging using correlation time-of-flight sensors
AU - Callenberg, Clara
AU - Heide, Felix
AU - Wetzstein, Gordon
AU - Hullin, Matthias B.
N1 - Funding Information:
This work was supported by the German Research Foundation (HU-2273/2-1), the X-Rite Chair for Digital Material Appearance, a National Science Foundation CAREER award (IIS 1553333), a Terman Faculty Fellowship, and the KAUST Office of Sponsored Research through the Visual Computing Center CCF grant. We thank Nick Maggio for his help on early experiments. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2017 Association for Computing Machinery. 0730-0301/2017/11-ART220 $15.00 https://doi.org/10.1145/3130800.3130885
Funding Information:
This work was supported by the German Research Foundation (HU-2273/2-1), the X-Rite Chair for Digital Material Appearance, a National Science Foundation CAREER award (IIS 1553333), a Terman Faculty Fellowship, and the KAUST Office of Sponsored Research through the Visual Computing Center CCF grant. We thank Nick Maggio for his help on early experiments.
Publisher Copyright:
© 2017 Association for Computing Machinery.
PY - 2017/11/20
Y1 - 2017/11/20
N2 - Computational photography encompasses a diversity of imaging techniques, but one of the core operations performed by many of them is to compute image differences. An intuitive approach to computing such differences is to capture several images sequentially and then process them jointly. In this paper, we introduce a snapshot difference imaging approach that is directly implemented in the sensor hardware of emerging time-of-flight cameras. With a variety of examples, we demonstrate that the proposed snapshot difference imaging technique is useful for direct-global illumination separation, for direct imaging of spatial and temporal image gradients, for direct depth edge imaging, and more.
AB - Computational photography encompasses a diversity of imaging techniques, but one of the core operations performed by many of them is to compute image differences. An intuitive approach to computing such differences is to capture several images sequentially and then process them jointly. In this paper, we introduce a snapshot difference imaging approach that is directly implemented in the sensor hardware of emerging time-of-flight cameras. With a variety of examples, we demonstrate that the proposed snapshot difference imaging technique is useful for direct-global illumination separation, for direct imaging of spatial and temporal image gradients, for direct depth edge imaging, and more.
KW - Computational photography
KW - ToF imaging
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U2 - 10.1145/3130800.3130885
DO - 10.1145/3130800.3130885
M3 - Conference article
AN - SCOPUS:85038922581
SN - 0730-0301
VL - 36
JO - ACM Transactions on Graphics
JF - ACM Transactions on Graphics
IS - 6
M1 - a220
T2 - ACM SIGGRAPH Asia Conference, SA 2017
Y2 - 27 November 2017 through 30 November 2017
ER -