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

Interference and Diffraction02:18

Interference and Diffraction

54.5K
Interference is a characteristic phenomenon exhibited by waves. When two electromagnetic waves interact with their peaks and troughs coinciding, a resulting wave with enhanced amplitude is produced. This is known as constructive interference. In this case, the two waves interacting are in phase with each other.
54.5K
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

665
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
665

You might also read

Related Articles

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

Sort by
Same author

Perceptual quality assessment in digital pathology: Modeling diagnostic usability from expert opinions.

Computer methods and programs in biomedicine·2026
Same author

Multi-Path Interference Challenges and Suggested Solution for Correlation-Assisted Direct Time-of-Flight.

Sensors (Basel, Switzerland)·2026
Same author

Computer-generated holography using the generalized Van Cittert-Zernike Schell propagator.

Optics letters·2026
Same author

Generalized Van Cittert-Zernike Schell propagator: an efficient algorithm for simulating partially coherent light.

Optics express·2025
Same author

Efficient and Scalable Point Cloud Generation With Sparse Point-Voxel Diffusion Models.

IEEE transactions on neural networks and learning systems·2025
Same author

Non-Uniform Entropy-Constrained <i>L</i><sub>∞</sub> Quantization for Sparse and Irregular Sources.

Entropy (Basel, Switzerland)·2025
Same journal

Long-term stabilization of intensity-difference squeezing from four-wave mixing in rubidium vapor.

Optics express·2026
Same journal

Robust 3D topography measurement of large-range high-aspect-ratio structures based on dual-domain statistical filtering in SD-OCT.

Optics express·2026
Same journal

Broadband transmissive terahertz metasurface for simultaneous quad-mode OAM multiplexing.

Optics express·2026
Same journal

Leveraging two-dimensional materials for high-sensitivity optical sensors: quasi-bound states in the continuum within hybrid metasurfaces.

Optics express·2026
Same journal

Resolution investigation for dual-spherical-wave optical scanning holographic microscopy: methods and performance.

Optics express·2026
Same journal

Robustness of parallel subnetwork-filtered diffractive deep neural networks.

Optics express·2026
See all related articles

Related Experiment Video

Updated: Apr 3, 2026

Recording Ultra-Realistic Full-Color Analog Holograms for Use in a Moving Hologram Display
09:04

Recording Ultra-Realistic Full-Color Analog Holograms for Use in a Moving Hologram Display

Published on: January 14, 2020

10.4K

Computer-generated holograms by multiple wavefront recording plane method with occlusion culling.

Athanasia Symeonidou, David Blinder, Adrian Munteanu

    Optics Express
    |September 15, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a fast method for creating full parallax computer-generated holograms (CGH) from volumetric data. The technique significantly speeds up hologram generation, offering a substantial improvement over traditional methods.

    More Related Videos

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.4K
    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
    10:16

    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

    Published on: February 8, 2014

    12.7K

    Related Experiment Videos

    Last Updated: Apr 3, 2026

    Recording Ultra-Realistic Full-Color Analog Holograms for Use in a Moving Hologram Display
    09:04

    Recording Ultra-Realistic Full-Color Analog Holograms for Use in a Moving Hologram Display

    Published on: January 14, 2020

    10.4K
    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
    09:43

    Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

    Published on: March 20, 2017

    10.4K
    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
    10:16

    Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

    Published on: February 8, 2014

    12.7K

    Area of Science:

    • Computer Graphics
    • Holography
    • Computational Imaging

    Background:

    • Generating full parallax computer-generated holograms (CGH) for volumetric data is computationally intensive.
    • Existing methods often lack efficiency for real-time or high-definition applications.

    Purpose of the Study:

    • To develop a novel, fast method for full parallax CGH generation suitable for volumetric data like point clouds.
    • To improve computational efficiency and visual quality in CGH synthesis.

    Main Methods:

    • A new light wave propagation strategy using the wavefront recording plane method with look-up tables.
    • An efficient occlusion culling technique with minimal computational overhead.
    • Applying Gaussian distribution to individual points for enhanced visual fidelity.

    Main Results:

    • Achieved a speedup factor exceeding 2,500x compared to ray-tracing for high-definition CGH without hardware acceleration.
    • Successfully integrated occlusion processing for volumetric data.
    • Improved visual quality through Gaussian distribution adherence.

    Conclusions:

    • The proposed method offers a significant advancement in the speed and efficiency of full parallax CGH generation.
    • This technique is well-suited for rendering volumetric data, enabling higher quality holographic displays.
    • The approach demonstrates the potential for real-time holographic rendering of complex scenes.