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

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

376
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
376
Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

549
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...
549
Relative Motion Analysis using Rotating Axes-Problem Solving01:29

Relative Motion Analysis using Rotating Axes-Problem Solving

456
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...
456
Upsampling01:22

Upsampling

330
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
330
Frames: Problem Solving II01:26

Frames: Problem Solving II

300
Consider a hydraulic hoist supporting a load of 1 kN. Assuming a simplified schematic representation of this frame structure, the force acting on BD and BF members can be determined.
300
Curvilinear Motion: Polar Coordinates01:27

Curvilinear Motion: Polar Coordinates

489
In polar coordinates, the motion of a particle follows a curvilinear path. The radial coordinate symbolized as 'r,' extends outward from a fixed origin to the particle, while the angular coordinate, 'θ,' measured in radians, represents the counterclockwise angle between a fixed reference line and the radial line connecting the origin to the particle.
The particle's location is described using a unit vector along the radial direction. Deriving the particle's position...
489

You might also read

Related Articles

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

Sort by
Same author

Clinical Feasibility of Robot-Assisted Pulmonary Resection Using a Platform Incorporating Haptic Feedback.

The Annals of thoracic surgery·2026
Same author

Semantic Scene Graphs for Creating a Localization-Ready Internet of Things.

IEEE transactions on visualization and computer graphics·2026
Same author

Ambient Analytics: Calm Technology for Immersive Visualization and Sensemaking.

IEEE computer graphics and applications·2026
Same author

A Behaviourally Anchored Checklist for Mental Health Occupational Therapy Intake Interviews: Development and Reliability in a Single-Station Standardised Patient Encounter.

Perspectives on medical education·2026
Same author

Robot-Assisted Resection of a Superior Prevascular Mediastinal Ectopic Parathyroid Adenoma by Subxiphoid Approach: A Case Report.

Surgical case reports·2026
Same author

A noninvasive urinary microRNA-based assay for early detection of lung cancer and its potential application to prognosis and recurrence monitoring: a case-control study.

NPJ precision oncology·2026
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles

Related Experiment Video

Updated: Sep 22, 2025

Clock Scan Protocol for Image Analysis: ImageJ Plugins
07:19

Clock Scan Protocol for Image Analysis: ImageJ Plugins

Published on: June 19, 2017

17.6K

Good Keyframes to Inpaint.

Shohei Mori, Dieter Schmalstieg, Denis Kalkofen

    IEEE Transactions on Visualization and Computer Graphics
    |May 23, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Selecting good keyframes is crucial for Diminished Reality (DR) inpainting quality. This study introduces a novel metric for automatic keyframe selection, improving inpainting results compared to existing methods.

    More Related Videos

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
    07:05

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

    Published on: June 18, 2021

    2.5K
    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

    15.8K

    Related Experiment Videos

    Last Updated: Sep 22, 2025

    Clock Scan Protocol for Image Analysis: ImageJ Plugins
    07:19

    Clock Scan Protocol for Image Analysis: ImageJ Plugins

    Published on: June 19, 2017

    17.6K
    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters
    07:05

    Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

    Published on: June 18, 2021

    2.5K
    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

    15.8K

    Area of Science:

    • Computer Vision
    • Augmented Reality
    • Computer Graphics

    Background:

    • Diminished Reality (DR) uses keyframe propagation for real-time inpainting.
    • Keyframe selection significantly impacts inpainting quality, but is challenging for users and lacks formal methods.
    • Existing DR approaches lack formalized criteria for identifying optimal keyframes.

    Purpose of the Study:

    • To propose a novel metric for automatically selecting optimal keyframes for Diminished Reality inpainting.
    • To formalize and verify criteria for good keyframe selection in DR.
    • To improve the quality and stability of DR inpainting through enhanced keyframe selection.

    Main Methods:

    • Derived simple criteria from Simultaneous Localization and Mapping (SLAM) heuristics.
    • Empirically analyzed the effect of these criteria on inpainting quality using a novel dataset.
    • Developed a combined metric integrating multiple selection criteria.

    Main Results:

    • The proposed metric significantly outperforms baseline approaches in selecting RGBD keyframes for high-quality inpainting.
    • The metric demonstrates superior ranking ability in distinguishing between good and bad keyframes.
    • Keyframes selected by the metric lead to more stable and higher-quality inpainting results compared to random selection.

    Conclusions:

    • The novel metric effectively automates good keyframe selection for Diminished Reality inpainting.
    • This approach enhances inpainting quality and stability in both color and depth domains.
    • The metric provides a verifiable and measurable method for keyframe selection in DR systems.