3D computational imaging with single-pixel detectors

844Citations
Citations of this article
488Readers
Mendeley users who have this article in their library.
Get full text

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.

References Powered by Scopus

Single-pixel imaging via compressive sampling: Building simpler, smaller, and less-expensive digital cameras

3113Citations
N/AReaders
Get full text

Optical imaging by means of two-photon quantum entanglement

2066Citations
N/AReaders
Get full text

Computational ghost imaging

1381Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Principles and prospects for single-pixel imaging

732Citations
N/AReaders
Get full text

Single-pixel imaging by means of Fourier spectrum acquisition

656Citations
N/AReaders
Get full text

Single-pixel three-dimensional imaging with time-based depth resolution

511Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

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

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 198

53%

Researcher 102

27%

Professor / Associate Prof. 64

17%

Lecturer / Post doc 12

3%

Readers' Discipline

Tooltip

Physics and Astronomy 174

52%

Engineering 103

31%

Computer Science 32

10%

Agricultural and Biological Sciences 23

7%

Article Metrics

Tooltip
Mentions
News Mentions: 1
References: 5
Social Media
Shares, Likes & Comments: 92

Save time finding and organizing research with Mendeley

Sign up for free