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

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...
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

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...
Sight Distance in a Vertical Curve01:29

Sight Distance in a Vertical Curve

Sight distance on vertical curves is critical in roadway design. It ensures drivers can see far enough ahead to identify and respond to hazards effectively. This directly impacts safety, driver comfort, and the overall efficiency of the transportation network.Vertical curves are classified into crest and sag curves based on their geometry. For crest curves, sight distance is determined by the line of sight between a driver's eye and a small object on the road's surface. Design parameters for...
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
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.
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...

You might also read

Related Articles

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

Sort by
Same author

Stewarding scarce response capacity: an inductive qualitative interview study of emergency medical dispatchers' prioritising ambulance resources.

BMJ open·2026
Same author

Exploring Content-Driven Axis Compression for Visualization of Heterogeneous Data.

IEEE transactions on visualization and computer graphics·2026
Same author

Using Dental Register Information and Questionnaire Data to Assess Periodontitis in Large Cohort Studies.

Journal of clinical periodontology·2025
Same author

VOICE: Visual Oracle for Interaction, Conversation, and Explanation.

IEEE transactions on visualization and computer graphics·2025
Same author

Uncovering nonlinear patterns in time-sensitive prehospital breathing emergencies: an exploratory machine learning study.

BMC medical informatics and decision making·2025
Same author

Understanding EMS response times: a machine learning-based analysis.

BMC medical informatics and decision making·2025
Same journal

LivingAvatars: Robust Head Reconstruction With Gaussian Lifecycle Management and Neural Detail Synthesis.

IEEE transactions on visualization and computer graphics·2026
Same journal

Two-phase Impulse Fluid on Particle Flow Map.

IEEE transactions on visualization and computer graphics·2026
Same journal

FGO-SLAM++: Real-time Geometry-Aware Gaussian SLAM with Continuous Opacity Field.

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

Related Experiment Video

Updated: Jun 4, 2026

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

Efficient visibility encoding for dynamic illumination in direct volume rendering.

Joel Kronander1, Daniel Jönsson, Joakim Löw

  • 1Department of Science and Technology, C-Research, Media and Information Technology, Linköping University, Norrköping, Sweden. joel.kronander@liu.se

IEEE Transactions on Visualization and Computer Graphics
|February 9, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a new algorithm for real-time dynamic shading in direct volume rendering. It uses spherical harmonics (SH) for efficient visibility and lighting calculations, enabling interactive rendering with complex light sources.

More Related Videos

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Related Experiment Videos

Last Updated: Jun 4, 2026

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

Determining 3D Flow Fields via Multi-camera Light Field Imaging
14:25

Determining 3D Flow Fields via Multi-camera Light Field Imaging

Published on: March 6, 2013

Area of Science:

  • Computer Graphics
  • Scientific Visualization
  • Image Processing

Background:

  • Direct volume rendering (DVR) traditionally struggles with real-time dynamic shading due to computational complexity.
  • Achieving realistic lighting and shadows in DVR requires efficient handling of volumetric visibility and illumination.

Purpose of the Study:

  • To develop an algorithm for real-time dynamic shading in direct volume rendering.
  • To enable the use of general lighting conditions, including directional lights, point lights, and environment maps, within DVR.
  • To achieve interactive performance for complex volumetric scenes.

Main Methods:

  • Encoding local and global volumetric visibility using spherical harmonic (SH) basis functions.
  • Storing SH coefficients in an efficient multiresolution grid for rapid access.
  • Utilizing level of detail (LOD) selection based on transfer functions for optimized computation.
  • Computing global visibility through piecewise integration of SH coefficients.
  • Representing light sources via SH projections for efficient rendering integrals.

Main Results:

  • Demonstrated real-time dynamic shading capabilities in direct volume rendering.
  • Enabled high-frequency spatial shadows with a low-frequency angular approximation of visibility and illumination.
  • Achieved interactive performance with general lighting conditions and complex volumetric data.
  • Showcased the method's generality through various illustrative examples.

Conclusions:

  • The proposed algorithm effectively enables real-time dynamic shading in direct volume rendering.
  • The use of SH basis functions and multiresolution grids provides an efficient approach to volumetric visibility and lighting.
  • The method offers a practical solution for interactive visualization of complex volumetric data under general lighting conditions.