TR2012-042

Decomposing Global Light Transport using Time of Flight Imaging

    •  Wu, D., O'Toole, M., Velten, A., Agrawal, A., Raskar, R., "Decomposing Global Light Transport using Time of Flight Imaging", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/​CVPR.2012.6247697, June 2012, pp. 366-373.
      BibTeX TR2012-042 PDF
      • @inproceedings{Wu2012jun,
      • author = {Wu, D. and O'Toole, M. and Velten, A. and Agrawal, A. and Raskar, R.},
      • title = {Decomposing Global Light Transport using Time of Flight Imaging},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2012,
      • pages = {366--373},
      • month = jun,
      • doi = {10.1109/CVPR.2012.6247697},
      • url = {https://www.merl.com/publications/TR2012-042}
      • }
  • Research Area:

    Computer Vision

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 inter reflection components. We show that the time profile is well modeled using a Gaussian function for the direct and inter reflection components, and a decaying exponential function for the subsurface scattering component. We use our direct, subsurface scattering, and inter reflection 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.

 

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    •  NEWS    CVPR 2012: 4 publications by Yuichi Taguchi, Srikumar Ramalingam and Amit K. Agrawal
      Date: June 16, 2012
      Where: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
      Research Area: Computer Vision
      Brief
      • The papers "Connecting the Dots in Multi-Class Classification: From Nearest Subspace to Collaborative Representation" by Chi, Y. and Porikli, F., "Decomposing Global Light Transport using Time of Flight Imaging" by Wu, D., O'Toole, M., Velten, A., Agrawal, A. and Raskar, R., "Changedetection.net: A New Change Detection Benchmark Dataset" by Goyette, N., Jodoin, P.-M., Porikli, F., Konrad, J. and Ishwar, P. and "A Theory of Multi-Layer Flat Refractive Geometry" by Agrawal, A., Ramalingam, S., Taguchi, Y. and Chari, V. were presented at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
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