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 Experiment Videos

Three-dimensional profilometric reconstruction using flexible sensing integral imaging and occlusion removal.

Xin Shen, Adam Markman, Bahram Javidi

    Applied Optics
    |April 5, 2017
    PubMed
    Summary

    This study introduces a novel 3D reconstruction method using flexible sensing integral imaging. It enables object recognition and automatic occlusion removal for improved 3D profilometry.

    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

    Area of Science:

    • Computer Vision
    • 3D Imaging
    • Computational Photography

    Background:

    • Integral imaging captures 3D information from 2D elemental images (EIs).
    • Flexible sensing allows camera movement on non-planar surfaces, introducing unknown poses.
    • Object occlusion hinders accurate 3D reconstruction and analysis.

    Purpose of the Study:

    • To develop a 3D profilometric reconstruction method using flexible sensing integral imaging.
    • To integrate object recognition and automatic occlusion removal into the 3D reconstruction process.
    • To enable visualization of occluded objects in 3D scenes.

    Main Methods:

    • Flexible sensing integral imaging captures EIs with unknown camera poses.
    • Camera poses are estimated for 3D reconstruction.

    Related Experiment Videos

  • Object recognition identifies occluded objects and estimates their depth and position.
  • Occlusion removal utilizes variance maps and multi-view geometry to replace occluded pixels.

    • Main Results:

    • Successful 3D profilometric reconstruction of scenes with occluded objects.
    • Accurate object recognition, depth, and position estimation.
    • Effective removal of occlusion from 2D elemental images.
    • Demonstrated feasibility through experimental validation.

    Conclusions:

    • The proposed method successfully performs 3D profilometric reconstruction with object recognition and occlusion removal.
    • This is the first application of flexible sensing integral imaging for these combined tasks.
    • The technique offers a new approach for visualizing and analyzing 3D scenes with occlusions.