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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.7K
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.
2.7K
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

1.1K
Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
However, to express the relative position of point B relative to point A, an additional frame of reference, denoted as x'y', is necessary. This additional frame not only translates but also rotates relative to the fixed frame, making it...
1.1K
Deconvolution01:20

Deconvolution

730
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
730
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

840
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant...
840
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

705
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...
705
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

866
Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
Here, in order to determine the magnitude of velocity and acceleration for point...
866

You might also read

Related Articles

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

Sort by
Same author

Detection of subclinical atherosclerosis by image-based deep learning on chest X-ray.

European heart journal. Digital health·2025
Same author

STanH : Parametric Quantization for Variable Rate Learned Image Compression.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2025
Same author

Detection and prioritization of COVID-19 infected patients from CXR images: Analysis of AI-assisted diagnosis in clinical settings.

Computational and structural biotechnology journal·2024
Same author

COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge.

Sensors (Basel, Switzerland)·2024
Same author

A Systematic Evaluation of Feature Encoding Techniques for Gait Analysis Using Multimodal Sensory Data.

Sensors (Basel, Switzerland)·2024
Same author

Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic stroke.

Frontiers in neuroinformatics·2023

Related Experiment Video

Updated: Apr 20, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

16.2K

Panorama view with spatiotemporal occlusion compensation for 3D video coding.

Muhammad Shahid Farid, Maurizio Lucenteforte, Marco Grangetto

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |December 2, 2014
    PubMed
    Summary

    This study introduces the Spatiotemporal Occlusion Compensation with Panorama view (STOP) technique for efficient 3D video coding. STOP enhances 3D video representation and compression, enabling free viewpoint applications.

    More Related Videos

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
    05:12

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

    Published on: August 12, 2021

    2.6K
    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
    07:45

    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

    Published on: July 21, 2020

    5.1K

    Related Experiment Videos

    Last Updated: Apr 20, 2026

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
    11:34

    High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

    Published on: December 3, 2013

    16.2K
    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery
    05:12

    Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

    Published on: August 12, 2021

    2.6K
    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
    07:45

    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

    Published on: July 21, 2020

    5.1K

    Area of Science:

    • Computer Vision
    • Multimedia Systems
    • Digital Signal Processing

    Background:

    • Efficient 3D video representation and coding are crucial for novel 3D display technologies.
    • Multiple View plus Depth (MVD) video formats are key for intermediate view synthesis and efficient 3D video compression.

    Purpose of the Study:

    • To present a novel 3D video coding technique called Spatiotemporal Occlusion Compensation with Panorama view (STOP).
    • To improve 3D video compression efficiency and enable advanced 3D TV applications.

    Main Methods:

    • STOP creates a panorama view encompassing multiple virtual views for comprehensive visual information.
    • It employs spatiotemporal offsets for occlusion coding and utilizes H.265/HEVC for panorama video encoding.
    • Ancillary information is used to represent occlusions, facilitating efficient coding.

    Main Results:

    • STOP achieves a high compression ratio and good visual quality.
    • The technique demonstrates competitive performance against existing 3D video coding methods.
    • It supports free viewpoint 3D TV and allows 2D service for legacy displays.

    Conclusions:

    • STOP offers an efficient solution for 3D video representation and coding.
    • The method facilitates advanced 3D applications like free viewpoint TV.
    • STOP provides backward compatibility for standard 2D displays.