Decomposing global light transport using time of flight imaging
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 l...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers
2013
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| Online Access: | http://hdl.handle.net/1721.1/80724 https://orcid.org/0000-0002-3254-3224 |
| _version_ | 1826207188019838976 |
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| author | Wu, Di O'Toole, Matthew Velten, Andreas Agrawal, Amit Raskar, Ramesh |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Wu, Di O'Toole, Matthew Velten, Andreas Agrawal, Amit Raskar, Ramesh |
| author_sort | Wu, Di |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T13:45:25Z |
| format | Article |
| id | mit-1721.1/80724 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T13:45:25Z |
| publishDate | 2013 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | mit-1721.1/807242022-10-01T16:56:46Z Decomposing global light transport using time of flight imaging Wu, Di O'Toole, Matthew Velten, Andreas Agrawal, Amit Raskar, Ramesh Massachusetts Institute of Technology. Media Laboratory Program in Media Arts and Sciences (Massachusetts Institute of Technology) Raskar, Ramesh Wu, Di O'Toole, Matthew Velten, Andreas 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. United States. Army Research Office (contract W911NF-07-D-0004) United States. Defense Advanced Research Projects Agency (YFA grant) Massachusetts Institute of Technology. Media Laboratory (Consortium Members) Massachusetts Institute of Technology. Institute for Soldier Nanotechnologies 2013-09-13T16:10:52Z 2013-09-13T16:10:52Z 2012-06 Article http://purl.org/eprint/type/ConferencePaper 978-1-4673-1228-8 978-1-4673-1226-4 978-1-4673-1227-1 1063-6919 INSPEC Accession Number: 12894618 http://hdl.handle.net/1721.1/80724 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. https://orcid.org/0000-0002-3254-3224 en_US http://dx.doi.org/10.1109/CVPR.2012.6247697 2012 IEEE Conference on Computer Vision and Pattern Recognition Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers MIT Web Domain |
| spellingShingle | Wu, Di O'Toole, Matthew Velten, Andreas Agrawal, Amit Raskar, Ramesh Decomposing global light transport using time of flight imaging |
| title | Decomposing global light transport using time of flight imaging |
| title_full | Decomposing global light transport using time of flight imaging |
| title_fullStr | Decomposing global light transport using time of flight imaging |
| title_full_unstemmed | Decomposing global light transport using time of flight imaging |
| title_short | Decomposing global light transport using time of flight imaging |
| title_sort | decomposing global light transport using time of flight imaging |
| url | http://hdl.handle.net/1721.1/80724 https://orcid.org/0000-0002-3254-3224 |
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