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

Fischer Projections02:18

Fischer Projections

Learning to draw Fischer projections of molecules and understanding their relevance plays a crucial role in the visual depiction of organic molecules. A Fischer projection is a two-dimensional projection on a planar surface to simplify the three-dimensional wedge–dash representation of molecules. This is especially helpful in the case of molecules with multiple chiral centers that can be difficult to draw. Here, all the bonds of interest are represented as horizontal or vertical lines. While...
Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

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.
Control Volume and System Representations01:16

Control Volume and System Representations

Two key frameworks are employed to analyze mass, energy, and momentum transfer: the control volume approach and the system approach. These frameworks offer different perspectives, depending on whether the focus is on a specific region in space (control volume approach) or a defined mass of fluid (system approach).
The control volume approach considers a stationary region in space through which fluid flows. This region is bounded by a control surface.  For instance, in the case of water flowing...
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

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 cross-section...
Deconvolution01:20

Deconvolution

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...
Reducing Line Loss01:18

Reducing Line Loss

In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss in...

You might also read

Related Articles

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

Sort by
Same authorSame journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same author

Multidimensional nano-ion composite hydrogel based on enzymatic blood glucose control, gas therapy and ion liquid permeation for repairing diabetic wounds.

Materials today. Bio·2026
Same author

GSDeformer: Direct, Real-Time and Extensible Cage-Based Deformation for 3D Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same author

A biohybrid platform integrating bacterial propulsion and photoresponsive nanomedicine for adequate intratumoral drug delivery.

Journal of nanobiotechnology·2026
Same author

Interactive Visual Assessment for Text-to-Image Generation Models.

IEEE transactions on visualization and computer graphics·2026
Same author

Make-Your-Anchor+: Temporal Consistent 2D Avatar Generation via Video Diffusion Prior.

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

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: Jun 6, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Feature-preserving volume data reduction and focus+context visualization.

Yu-Shuen Wang1, Chaoli Wang, Tong-Yee Lee

  • 1National Cheng Kung University, Tainan, Taiwan.

IEEE Transactions on Visualization and Computer Graphics
|December 15, 2010
PubMed
Summary
This summary is machine-generated.

This study introduces a feature-preserving method to reduce large volumetric data for faster interactive visualization. It enables focus+context displays, showing details of important features within their broader context.

More Related Videos

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
11:49

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
12:59

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

Related Experiment Videos

Last Updated: Jun 6, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data
12:08

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature
11:49

Using High Resolution Computed Tomography to Visualize the Three Dimensional Structure and Function of Plant Vasculature

Published on: April 5, 2013

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation
12:59

Three and Four-Dimensional Visualization and Analysis Approaches to Study Vertebrate Axial Elongation and Segmentation

Published on: February 28, 2021

Area of Science:

  • Computer Science
  • Scientific Visualization

Background:

  • Large volumetric datasets present challenges for interactive visualization.
  • Limited display resolution hinders detailed feature examination within context.

Purpose of the Study:

  • To develop a feature-preserving data reduction and focus+context visualization method.
  • To enhance interactivity and detail visibility for large volumetric data.

Main Methods:

  • Utilizes transfer functions to assign importance values to data regions.
  • Employs continuous voxel repositioning and resampling for data reduction.
  • Deforms 3D meshes to magnify features of interest while compressing others.

Main Results:

  • Achieves significant data reduction, improving overall visualization efficiency.
  • Continuous deformation avoids complex transitions between resolution levels.
  • Effectively visualizes multiple features in a focus+context manner.

Conclusions:

  • The proposed method enhances interactivity for large volumetric data.
  • It provides effective focus+context visualization, particularly for multiple features.
  • Demonstrated efficiency and effectiveness in medical and scientific applications.