3D Computational Imaging with Single-Pixel Detectors

B. Sun, M. P. Edgar, R. Bowman, L. E. Vittert, S. Welsh, A. Bowman, M. J. Padgett

Research output: Contribution to journalArticle

361 Citations (Scopus)

Abstract

Computational imaging enables retrieval of the spatial information of an object with the use of single-pixel detectors. By projecting a series of known random patterns and measuring the backscattered intensity, it is possible to reconstruct a two-dimensional (2D) image. We used several single-pixel detectors in different locations to capture the 3D form of an object. From each detector we derived a 2D image that appeared to be illuminated from a different direction, even though only a single digital projector was used for illumination. From the shading of the images, the surface gradients could be derived and the 3D object reconstructed. We compare our result to that obtained from a stereophotogrammetric system using multiple cameras. Our simplified approach to 3D imaging can readily be extended to nonvisible wavebands.
Original languageEnglish
Pages (from-to)844-847
Number of pages4
JournalScience
Volume340
Issue number6134
DOIs
Publication statusPublished - 17 May 2013

Fingerprint

pixels
detectors
projectors
retrieval
illumination
cameras
gradients

Cite this

Sun, B., Edgar, M. P., Bowman, R., Vittert, L. E., Welsh, S., Bowman, A., & Padgett, M. J. (2013). 3D Computational Imaging with Single-Pixel Detectors. Science, 340(6134), 844-847. https://doi.org/10.1126/science.1234454

3D Computational Imaging with Single-Pixel Detectors. / Sun, B.; Edgar, M. P.; Bowman, R.; Vittert, L. E.; Welsh, S.; Bowman, A.; Padgett, M. J.

In: Science, Vol. 340, No. 6134, 17.05.2013, p. 844-847.

Research output: Contribution to journalArticle

Sun, B, Edgar, MP, Bowman, R, Vittert, LE, Welsh, S, Bowman, A & Padgett, MJ 2013, '3D Computational Imaging with Single-Pixel Detectors', Science, vol. 340, no. 6134, pp. 844-847. https://doi.org/10.1126/science.1234454
Sun B, Edgar MP, Bowman R, Vittert LE, Welsh S, Bowman A et al. 3D Computational Imaging with Single-Pixel Detectors. Science. 2013 May 17;340(6134):844-847. https://doi.org/10.1126/science.1234454
Sun, B. ; Edgar, M. P. ; Bowman, R. ; Vittert, L. E. ; Welsh, S. ; Bowman, A. ; Padgett, M. J. / 3D Computational Imaging with Single-Pixel Detectors. In: Science. 2013 ; Vol. 340, No. 6134. pp. 844-847.
@article{11b06812a3f64cd9b010f4bb13acd1c9,
title = "3D Computational Imaging with Single-Pixel Detectors",
abstract = "Computational imaging enables retrieval of the spatial information of an object with the use of single-pixel detectors. By projecting a series of known random patterns and measuring the backscattered intensity, it is possible to reconstruct a two-dimensional (2D) image. We used several single-pixel detectors in different locations to capture the 3D form of an object. From each detector we derived a 2D image that appeared to be illuminated from a different direction, even though only a single digital projector was used for illumination. From the shading of the images, the surface gradients could be derived and the 3D object reconstructed. We compare our result to that obtained from a stereophotogrammetric system using multiple cameras. Our simplified approach to 3D imaging can readily be extended to nonvisible wavebands.",
author = "B. Sun and Edgar, {M. P.} and R. Bowman and Vittert, {L. E.} and S. Welsh and A. Bowman and Padgett, {M. J.}",
year = "2013",
month = "5",
day = "17",
doi = "10.1126/science.1234454",
language = "English",
volume = "340",
pages = "844--847",
journal = "Science",
issn = "0036-8075",
publisher = "American Association for the Advancement of Science",
number = "6134",

}

TY - JOUR

T1 - 3D Computational Imaging with Single-Pixel Detectors

AU - Sun, B.

AU - Edgar, M. P.

AU - Bowman, R.

AU - Vittert, L. E.

AU - Welsh, S.

AU - Bowman, A.

AU - Padgett, M. J.

PY - 2013/5/17

Y1 - 2013/5/17

N2 - Computational imaging enables retrieval of the spatial information of an object with the use of single-pixel detectors. By projecting a series of known random patterns and measuring the backscattered intensity, it is possible to reconstruct a two-dimensional (2D) image. We used several single-pixel detectors in different locations to capture the 3D form of an object. From each detector we derived a 2D image that appeared to be illuminated from a different direction, even though only a single digital projector was used for illumination. From the shading of the images, the surface gradients could be derived and the 3D object reconstructed. We compare our result to that obtained from a stereophotogrammetric system using multiple cameras. Our simplified approach to 3D imaging can readily be extended to nonvisible wavebands.

AB - Computational imaging enables retrieval of the spatial information of an object with the use of single-pixel detectors. By projecting a series of known random patterns and measuring the backscattered intensity, it is possible to reconstruct a two-dimensional (2D) image. We used several single-pixel detectors in different locations to capture the 3D form of an object. From each detector we derived a 2D image that appeared to be illuminated from a different direction, even though only a single digital projector was used for illumination. From the shading of the images, the surface gradients could be derived and the 3D object reconstructed. We compare our result to that obtained from a stereophotogrammetric system using multiple cameras. Our simplified approach to 3D imaging can readily be extended to nonvisible wavebands.

UR - https://doi.org/10.1126%2Fscience.1234454

U2 - 10.1126/science.1234454

DO - 10.1126/science.1234454

M3 - Article

VL - 340

SP - 844

EP - 847

JO - Science

JF - Science

SN - 0036-8075

IS - 6134

ER -