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

Relative Motion Analysis using Rotating Axes01:25

Relative Motion Analysis using Rotating Axes

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 instrumental in...

You might also read

Related Articles

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

Sort by
Same author

Tuning-Free Latent Diffusion Models for Ultrahigh-Resolution Image Editing.

IEEE transactions on neural networks and learning systems·2026
Same author

Water-Splitting-Suppressed High-Capacity Bipolar Electrodes Enabled by Topochemical Electron Buffering for Symmetric Aqueous Batteries.

Angewandte Chemie (International ed. in English)·2026
Same author

Evidentiary evaluation of complex low-template DNA mixtures using high-efficiency microhaplotype panels.

Forensic science international. Genetics·2026
Same author

Mining of natural diversity enables efficient and expressible peptide asparaginyl ligases.

Nature communications·2026
Same author

CPFTransGAN: A Cross Perception Fusion Transformer-based Generative Adversarial Network for Head and Neck Cancer Dose Prediction in Radiotherapy.

IEEE journal of biomedical and health informatics·2026
Same author

A PSAT1 buff of YBX1 transcriptionally sustains HLA-E-mediated evasion of NK immunity.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same journal

Blue Noise Dithering for Reservoir-based Spatio-temporal Importance Resampling.

IEEE transactions on visualization and computer graphics·2026
Same journal

ROS-GS: Relightable Outdoor Scenes With Gaussian Splatting.

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

Related Experiment Video

Updated: May 31, 2026

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data
06:36

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Published on: October 18, 2024

Video stereolization: combining motion analysis with user interaction.

Miao Liao1, Jizhou Gao, Ruigang Yang

  • 1Center for Visualization and Virtual Environments, University of Kentucky Lexington, KY 40506, USA. miao.liao@uky.edu

IEEE Transactions on Visualization and Computer Graphics
|June 22, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a semiautomatic system for converting standard videos to stereoscopic 3D. It uses motion analysis and user input to simplify depth estimation, making 3D video creation more intuitive and less labor-intensive.

More Related Videos

Controlled Rotation of Human Observers in a Virtual Reality Environment
09:11

Controlled Rotation of Human Observers in a Virtual Reality Environment

Published on: April 21, 2022

Related Experiment Videos

Last Updated: May 31, 2026

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data
06:36

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Published on: October 18, 2024

Controlled Rotation of Human Observers in a Virtual Reality Environment
09:11

Controlled Rotation of Human Observers in a Virtual Reality Environment

Published on: April 21, 2022

Area of Science:

  • Computer Vision
  • Computer Graphics
  • Multimedia Processing

Background:

  • Stereoscopic video creation from monoscopic sources is challenging.
  • Existing methods often require extensive user labeling or have limitations on camera motion.

Purpose of the Study:

  • To develop a semiautomatic system for efficient monoscopic to stereoscopic video conversion.
  • To reduce the user's workload in the labeling process for 3D video synthesis.
  • To enable 3D conversion for videos with general camera motions.

Main Methods:

  • Combined motion analysis with user interaction for depth estimation.
  • Developed novel optical flow analysis methods for qualitative depth constraints, overcoming Structure from Motion (SFM) camera movement restrictions.
  • Utilized quadratic programming to integrate quantitative and qualitative depth information for dense depth map recovery.
  • Synthesized stereoscopic views from recovered depth maps.

Main Results:

  • The system significantly simplifies the user's labeling task.
  • Achieved dense depth map recovery for general motion scenes.
  • Produced stereoscopic videos with a 3D effect comparable to state-of-the-art interactive algorithms.
  • User studies confirmed the approach is more intuitive and less labor-intensive.

Conclusions:

  • The proposed semiautomatic system offers an efficient and user-friendly method for monoscopic to stereoscopic video conversion.
  • The novel optical flow analysis methods enhance depth estimation accuracy and broaden applicability to general motion videos.
  • The system provides a practical solution for creating compelling 3D content with reduced manual effort.