Decomposing global light transport using time of flight imaging
Author(s)Wu, Di; O'Toole, Matthew; Velten, Andreas; Agrawal, Amit; Raskar, Ramesh
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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.
DepartmentMassachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
2012 IEEE Conference on Computer Vision and Pattern Recognition
Institute of Electrical and Electronics Engineers
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.
Author's final manuscript
INSPEC Accession Number: 12894618