Decomposing global light transport using time of flight imaging
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Raskar_Decomposing Global.pdf
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4.07 MB
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Author(s)
Wu, Di
O'Toole, Matthew
Velten, Andreas
Agrawal, Amit
Raskar, Ramesh
Date Issued
June 2012
Journal
2012 IEEE Conference on Computer Vision and Pattern Recognition
Publisher
Institute of Electrical and Electronics Engineers
Citation
Di Wu, M. O Toole, A. Velten, A. Agrawal, and R. Raskar. “Decomposing global light transport using time of flight imaging.” In 2012 IEEE Conference on Computer Vision and Pattern Recognition, 366-373. Institute of Electrical and Electronics Engineers, 2012.
Version
Author's final manuscript
Abstract
Global light transport is composed of direct and indirect components. In this paper, we take the first steps toward analyzing light transport using high temporal resolution information via time of flight (ToF) images. The time profile at each pixel encodes complex interactions between the incident light and the scene geometry with spatially-varying material properties. We exploit the time profile to decompose light transport into its constituent direct, subsurface scattering, and interreflection components. We show that the time profile is well modelled using a Gaussian function for the direct and interreflection components, and a decaying exponential function for the subsurface scattering component. We use our direct, subsurface scattering, and interreflection separation algorithm for four computer vision applications: recovering projective depth maps, identifying subsurface scattering objects, measuring parameters of analytical subsurface scattering models, and performing edge detection using ToF images.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1109/CVPR.2012.6247697
