Related Experiment Video
Updated: Jul 17, 2026
10:39
3D-Neuronavigation In Vivo Through a Patient's Brain During a Spontaneous Migraine Headache
Published on: June 2, 2014
18.3K
VoxAR: Adaptive Visualization of Volume Rendered Objects in Optical See-Through Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
|December 14, 2023
Summary
VoxAR enhances augmented reality (AR) visualizations on optical see-through head-mounted displays (OST-HMDs). It optimizes virtual object placement and adjusts colors for clearer perception of scientific data in real-world environments.
Area of Science:
- Computer Science
- Human-Computer Interaction
- Scientific Visualization
Background:
- Augmented reality (AR) offers potential for integrating digital scientific data into the physical world.
- Optical see-through head-mounted displays (OST-HMDs) face challenges with virtual object pixels interfering with real-world colors, hindering accurate perception.
- Effective visualization of volume-rendered data in OST-HMDs requires addressing visibility issues.
Purpose of the Study:
- To develop a method, VoxAR, for effective visualization of volume-rendered objects in OST-HMDs.
- To overcome the limitations of virtual object pixel interference with real-world colors in OST-HMDs.
- To improve the accurate perception of augmented virtual information.
Main Methods:
- A two-step approach: 1) Spatial and environmental objective-based placement of volume-rendered objects in real-world scenes using GPU shader language for real-time performance.
- 2) Adjustment of transfer function (TF) colors based on placement region to ensure pixel discernibility and maintain perceptual data mapping.
- Novel optimization method for TF color adjustment.
Main Results:
- VoxAR successfully determines optimal object placement in real-time.
- The method adjusts TF colors for improved visibility of volume-rendered objects against real-world backgrounds.
- User studies and objective evaluations demonstrate the effectiveness of the approach.
Conclusions:
- VoxAR provides an effective solution for visualizing volume-rendered data in OST-HMDs.
- The method enhances the perception of augmented scientific information by addressing color interference.
- VoxAR facilitates better interpretation of scientific data through improved AR visualizations.
More Related Videos
Related Concept Videos
01:17Accelerating Fluids
When a fluid is in constant acceleration, the pressure and buoyant force equations are modified. Suppose a beaker is placed in an elevator accelerating upward with a constant acceleration, a. In the beaker, assume there is a thin cylinder of height h with an infinitesimal cross-sectional area, ΔS.
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
The motion of the liquid within this infinitesimal cylinder is considered to obtain the pressure difference. Three vertical forces act on this liquid:
01:18Fluid Movement Between Compartments
The force applied by fluids against a surface, known as hydrostatic pressure, initiates the transfer of fluid among different compartments. Within our blood vessels, the blood's hydrostatic pressure is a result of the heart's pumping action. At the arteriolar end of capillaries, hydrostatic pressure (capillary blood pressure) exceeds the opposing colloid osmotic pressure created primarily by plasma proteins like albumin. This discrepancy in pressure propels plasma and nutrients from the...
01:15Depth 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.
01:23Plane Potential Flows
Plane potential flows simplify fluid motion by assuming the fluid to be irrotational and incompressible. These characteristics allow these flows to be described by a velocity potential function, ϕ, representing the flow speed in a given direction, and a stream function, ψ, that visualizes the flow path, both governed by Laplace's equation. These parameters help in estimating flow patterns, velocity distributions, and pressure fields around various hydraulic structures.
Uniform Flow
Uniform flow...
Uniform Flow
Uniform flow...
01:27Laminar Flow
Laminar flow represents a smooth, orderly fluid motion where particles move along parallel paths, resulting in minimal mixing between layers. Streamlined particle paths characterize this flow regime and occur under conditions where viscous forces dominate over inertial forces. The distinction between laminar, transitional, and turbulent flow is primarily determined by the Reynolds number, a dimensionless quantity calculated as:
01:27Uniform 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...