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

Computed Tomography01:10

Computed Tomography

9.1K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
9.1K
Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

554
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...
554
Gauss's Law: Planar Symmetry01:27

Gauss's Law: Planar Symmetry

9.7K
A planar symmetry of charge density is obtained when charges are uniformly spread over a large flat surface. In planar symmetry, all points in a plane parallel to the plane of charge are identical with respect to the charges. Suppose the plane of the charge distribution is the xy-plane, and the electric field at a space point P with coordinates (x, y, z) is to be determined. Since the charge density is the same at all (x, y) - coordinates in the z = 0 plane, by symmetry, the electric field at P...
9.7K
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

674
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...
674
Vector Components in the Cartesian Coordinate System01:29

Vector Components in the Cartesian Coordinate System

28.8K
Vectors are usually described in terms of their components in a coordinate system. Even in everyday life, we naturally invoke the concept of orthogonal projections in a rectangular coordinate system. For example, if someone gives you directions for a particular location, you will be told to go a few km in a direction like east, west, north, or south, along with the angle in which you are supposed to move. In a rectangular (Cartesian) xy-coordinate system in a plane, a point in a plane is...
28.8K
Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

446
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
446

You might also read

Related Articles

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

Sort by
Same author

Fast, Memory-Efficient Construction of Voxelized Shadows.

IEEE transactions on visualization and computer graphics·2016
Same author

More Efficient Virtual Shadow Maps for Many Lights.

IEEE transactions on visualization and computer graphics·2015
Same author

Novel simple approach for detection of regional perturbations of cardiac function in mouse models of cardiovascular disease.

Echocardiography (Mount Kisco, N.Y.)·2013
Same author

Stochastic transparency.

IEEE transactions on visualization and computer graphics·2010
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: Feb 24, 2026

Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing
11:36

Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing

Published on: February 9, 2022

3.3K

Compressing Color Data for Voxelized Surface Geometry.

Dan Dolonius, Erik Sintorn, Viktor Kampe

    IEEE Transactions on Visualization and Computer Graphics
    |August 23, 2017
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a new method for compressing voxel colors in large scenes. It achieves high compression rates and quality for real-time applications and offline storage.

    More Related Videos

    3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
    08:52

    3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

    Published on: November 27, 2017

    24.3K
    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

    25.1K

    Related Experiment Videos

    Last Updated: Feb 24, 2026

    Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing
    11:36

    Voxel Printing Anatomy: Design and Fabrication of Realistic, Presurgical Planning Models through Bitmap Printing

    Published on: February 9, 2022

    3.3K
    3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue
    08:52

    3D Ultrasound Imaging: Fast and Cost-effective Morphometry of Musculoskeletal Tissue

    Published on: November 27, 2017

    24.3K
    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

    25.1K

    Area of Science:

    • Computer Graphics
    • Image Processing
    • Data Compression

    Background:

    • Voxelized surfaces present challenges in decoupling color from geometry.
    • Compressing color data without artifacts is crucial for large scenes.

    Purpose of the Study:

    • To develop a novel method for efficiently storing and compressing color information in voxelized surfaces.
    • To achieve high compression rates and visual quality for both real-time and offline applications.

    Main Methods:

    • Connecting sparse voxel Directed Acyclic Graph (DAG) nodes to a 1D color array.
    • Mapping the 1D color array to a 2D image using space-filling curves.
    • Utilizing hardware-accelerated texture compression (ASTC, BC7) and offline formats (JPG, JPG2K).

    Main Results:

    • Achieved high compression rates and quality with texture compression formats.
    • Demonstrated effectiveness for offline storage and network transmission.
    • Introduced a variable bitrate block encoding outperforming previous methods, often doubling compression at equal quality.

    Conclusions:

    • The proposed method effectively decouples color from geometry in voxelized scenes.
    • It enables efficient, high-quality compression of voxel colors for diverse applications.
    • The variable bitrate encoding offers significant improvements for real-time decompression.