Diffuse mirrors: 3D reconstruction from diffuse indirect illumination using inexpensive time-of-flight sensors

Handle URI:
http://hdl.handle.net/10754/564936
Title:
Diffuse mirrors: 3D reconstruction from diffuse indirect illumination using inexpensive time-of-flight sensors
Authors:
Heide, Felix; Xiao, Lei; Heidrich, Wolfgang ( 0000-0002-4227-8508 ) ; Hullin, Matthias B.
Abstract:
The functional difference between a diffuse wall and a mirror is well understood: one scatters back into all directions, and the other one preserves the directionality of reflected light. The temporal structure of the light, however, is left intact by both: assuming simple surface reflection, photons that arrive first are reflected first. In this paper, we exploit this insight to recover objects outside the line of sight from second-order diffuse reflections, effectively turning walls into mirrors. We formulate the reconstruction task as a linear inverse problem on the transient response of a scene, which we acquire using an affordable setup consisting of a modulated light source and a time-of-flight image sensor. By exploiting sparsity in the reconstruction domain, we achieve resolutions in the order of a few centimeters for object shape (depth and laterally) and albedo. Our method is robust to ambient light and works for large room-sized scenes. It is drastically faster and less expensive than previous approaches using femtosecond lasers and streak cameras, and does not require any moving parts.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Computer Science Program; Visual Computing Center (VCC); Computational Imaging Group
Publisher:
Institute of Electrical & Electronics Engineers (IEEE)
Journal:
2014 IEEE Conference on Computer Vision and Pattern Recognition
Conference/Event name:
27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014
Issue Date:
Jun-2014
DOI:
10.1109/CVPR.2014.418
Type:
Conference Paper
ISSN:
10636919
ISBN:
9781479951178; 9781479951178
Appears in Collections:
Conference Papers; Computer Science Program; Visual Computing Center (VCC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorHeide, Felixen
dc.contributor.authorXiao, Leien
dc.contributor.authorHeidrich, Wolfgangen
dc.contributor.authorHullin, Matthias B.en
dc.date.accessioned2015-08-04T07:25:39Zen
dc.date.available2015-08-04T07:25:39Zen
dc.date.issued2014-06en
dc.identifier.isbn9781479951178; 9781479951178en
dc.identifier.issn10636919en
dc.identifier.doi10.1109/CVPR.2014.418en
dc.identifier.urihttp://hdl.handle.net/10754/564936en
dc.description.abstractThe functional difference between a diffuse wall and a mirror is well understood: one scatters back into all directions, and the other one preserves the directionality of reflected light. The temporal structure of the light, however, is left intact by both: assuming simple surface reflection, photons that arrive first are reflected first. In this paper, we exploit this insight to recover objects outside the line of sight from second-order diffuse reflections, effectively turning walls into mirrors. We formulate the reconstruction task as a linear inverse problem on the transient response of a scene, which we acquire using an affordable setup consisting of a modulated light source and a time-of-flight image sensor. By exploiting sparsity in the reconstruction domain, we achieve resolutions in the order of a few centimeters for object shape (depth and laterally) and albedo. Our method is robust to ambient light and works for large room-sized scenes. It is drastically faster and less expensive than previous approaches using femtosecond lasers and streak cameras, and does not require any moving parts.en
dc.publisherInstitute of Electrical & Electronics Engineers (IEEE)en
dc.titleDiffuse mirrors: 3D reconstruction from diffuse indirect illumination using inexpensive time-of-flight sensorsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentComputer Science Programen
dc.contributor.departmentVisual Computing Center (VCC)en
dc.contributor.departmentComputational Imaging Groupen
dc.identifier.journal2014 IEEE Conference on Computer Vision and Pattern Recognitionen
dc.conference.date23 June 2014 through 28 June 2014en
dc.conference.name27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014en
dc.contributor.institutionUniversity of British Columbia, Canadaen
dc.contributor.institutionUniversity of Bonn, United Statesen
kaust.authorHeidrich, Wolfgangen
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