Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

AI-driven digital holographic microscopy for label-free quantitative cellular analysis: toward low-cost and field-deployable platforms.

Biomedical optics express·2026
Same author

Morphological investigation of astrocyte brain cells using quantitative phase imaging.

Biomedical optics express·2026
Same author

Security authentication and tracking of unmanned moving vehicles with optical ID tags.

Optics express·2026
Same author

3D profilometric object detection in turbid water using integral imaging and deep neural networks.

Optics express·2026
Same author

Underwater multidimensional metrology in degraded environments with augmented reality devices.

Optics express·2026
Same author

Dynamic vision-based underwater optical signal detection system in a degraded environment using multi-dimensional integral imaging and deep learning.

Optics express·2026
Same journal

Multi-module collaborative optimization-driven fast speckle correlation imaging in variable environments.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Secrecy performance analysis of NOMA-UWOC systems over a vertically stratified WGG oceanic turbulence channel.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Backscattering of plane waves in a composite system containing a rough surface and anisotropic scatterers.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Aspherical surface construction methods based on extended Jacobi polynomials.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

OCT sidelobe suppression method based on dual-path phase sinusoidal modulation and minimum value fusion.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
Same journal

Optical design concepts using wavelength-selective diffractive optics to enable miniaturized multimodal endoscopic imaging across separated spectral ranges.

Journal of the Optical Society of America. A, Optics, image science, and vision·2026
See all related articles

Related Experiment Video

Updated: May 22, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

3D photon counting integral imaging with unknown sensor positions.

Xiao Xiao1, Bahram Javidi

  • 1Electrical and Computer Engineering Department, University of Connecticut, Storrs, Connecticut 06269-2157, USA.

Journal of the Optical Society of America. A, Optics, Image Science, and Vision
|May 8, 2012
PubMed
Summary
This summary is machine-generated.

This study introduces a novel photon counting 3D integral imaging method that reconstructs images without prior knowledge of sensor positions. This advancement makes 3D imaging more adaptable for various applications by estimating sensor locations during reconstruction.

More Related Videos

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)
11:57

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Published on: December 1, 2016

Related Experiment Videos

Last Updated: May 22, 2026

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform
06:25

Time Multiplexing Super Resolving Technique for Imaging from a Moving Platform

Published on: February 12, 2014

A Protocol for Real-time 3D Single Particle Tracking
10:16

A Protocol for Real-time 3D Single Particle Tracking

Published on: January 3, 2018

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)
11:57

Three-dimensional Super Resolution Microscopy of F-actin Filaments by Interferometric PhotoActivated Localization Microscopy (iPALM)

Published on: December 1, 2016

Area of Science:

  • Optics and Photonics
  • Image Reconstruction
  • Computational Imaging

Background:

  • Photon counting integral imaging offers advanced 3D reconstruction capabilities.
  • Existing methods require precise, predefined sensor positions, limiting practical applications.
  • Unknown sensor positions pose a significant challenge for 3D integral imaging systems.

Purpose of the Study:

  • To develop a photon counting 3D integral imaging system capable of reconstructing images with unknown sensor positions.
  • To enable more flexible and robust 3D imaging applications where sensor calibration is difficult.
  • To address the limitations of prior work by removing the a priori knowledge requirement for sensor positions.

Main Methods:

  • An iterative approach using the total variation maximum a posteriori expectation maximization (MAP-EM) algorithm is employed.
  • Photon counting images are restored to extract scene details for image correspondence matching.
  • Sensor positions are estimated by matching correspondences in the restored photon counting images.

Main Results:

  • The proposed method successfully estimates unknown sensor positions in photon counting 3D integral imaging.
  • Experimental results demonstrate the feasibility and effectiveness of the developed iterative reconstruction technique.
  • The system achieves viable 3D image reconstruction even when sensor locations are not precisely known beforehand.

Conclusions:

  • This work presents the first 3D photon counting integral imaging system that operates without prior knowledge of sensor positions.
  • The developed iterative method provides a practical solution for 3D image reconstruction in scenarios with unknown sensor configurations.
  • The findings pave the way for wider adoption of photon counting integral imaging in diverse scientific and industrial fields.