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

Distributed computing for the reconstruction of multi-terabyte tomographic X-ray imaging datasets.

Journal of synchrotron radiation·2026
Same author

Multi-view object pose distribution tracking for pre-grasp planning on mobile robots.

Frontiers in robotics and AI·2026
Same author

Laboratory three-dimensional X-ray micro-beam Laue diffraction.

Journal of applied crystallography·2025
Same author

A queen's tale: An experimental palaeoproteomic study of a honey bee queen cell specimen from Natural History Museum Denmark.

Open research Europe·2025
Same author

Quantitative measurement of the anisotropy of a turbid medium using polarization imaging.

Applied optics·2025
Same author

Human lymph node microvascular imaging using a fast contrast-free super-resolution ultrasound technique.

Scientific reports·2025

Related Experiment Video

Updated: Feb 20, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

772

Scene reassembly after multimodal digitization and pipeline evaluation using photorealistic rendering.

Jonathan Dyssel Stets, Alessandro Dal Corso, Jannik Boll Nielsen

    Applied Optics
    |October 20, 2017
    PubMed
    Summary

    This study introduces a novel pipeline for digitizing scenes with transparent objects, enabling accurate digital reconstruction and scene reassembly. The method ensures precise material appearance and geometry verification for digital content creation.

    More Related Videos

    Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
    12:32

    Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

    Published on: September 27, 2020

    10.3K
    A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
    09:41

    A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

    Published on: May 20, 2016

    12.8K

    Related Experiment Videos

    Last Updated: Feb 20, 2026

    Photorealistic Learned Landscapes for Augmented Reality
    06:54

    Photorealistic Learned Landscapes for Augmented Reality

    Published on: June 27, 2025

    772
    Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans
    12:32

    Image Rendering Techniques in Postmortem Computed Tomography: Evaluation of Biological Health and Profile in Stranded Cetaceans

    Published on: September 27, 2020

    10.3K
    A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery
    09:41

    A Pipeline for 3D Multimodality Image Integration and Computer-assisted Planning in Epilepsy Surgery

    Published on: May 20, 2016

    12.8K

    Area of Science:

    • Computer Vision
    • Computer Graphics
    • Digital Content Creation

    Background:

    • Acquiring transparent objects requires different modalities than diffuse objects.
    • Digitizing complex scenes necessitates scene reassembly after individual object reconstruction.

    Purpose of the Study:

    • To develop a multimodal digitization pipeline for scenes requiring reassembly.
    • To enable pixelwise comparison between real scenes and digital renderings for verification.

    Main Methods:

    • Measurement of bidirectional reflectance distribution functions (BRDFs).
    • High dynamic range (HDR) imaging of the lighting environment.
    • Development of a scene reassembly method.

    Main Results:

    • A pipeline enabling quantitative evaluation of acquired material appearance and reconstructed geometry.
    • Improved reconstruction and optical property estimation through analysis by synthesis.
    • A novel method for scene reassembly.

    Conclusions:

    • The proposed pipeline effectively addresses the challenge of digitizing and reassembling scenes with transparent objects.
    • Quantitative evaluation is crucial for verifying digital content and improving pipeline steps.
    • The method advances digital content creation by enabling accurate scene reconstruction and appearance.