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

Depth Perception and Spatial Vision01:15

Depth Perception and Spatial Vision

2.6K
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.
2.6K
Gestalt Principles of Perception01:21

Gestalt Principles of Perception

1.8K
Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Learning to See Through Obstructions With Layered Decomposition.

IEEE transactions on pattern analysis and machine intelligence·2021
Same author

Weakly Supervised Salient Object Detection by Learning A Classifier-Driven Map Generator.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2019
Same author

Geometrically Consistent Stereoscopic Image Editing Using Patch-Based Synthesis.

IEEE transactions on visualization and computer graphics·2015
Same author

Dual-Matrix Sampling for Scalable Translucent Material Rendering.

IEEE transactions on visualization and computer graphics·2015
Same author

Augmented multiple instance regression for inferring object contours in bounding boxes.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2014
Same author

VisibilityCluster: average directional visibility for many-light rendering.

IEEE transactions on visualization and computer graphics·2013
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: Apr 4, 2026

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
08:04

Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

Published on: December 4, 2013

4.9K

Disambiguating Stereoscopic Transparency Using a Thaumatrope Approach.

Yan-Jen Su, Yung-Yu Chuang

    IEEE Transactions on Visualization and Computer Graphics
    |September 11, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel thaumatrope method for volume rendering, enhancing 3D understanding. By rapidly alternating between detailed and simplified views, it improves spatial perception in scientific visualization.

    More Related Videos

    How to Create and Use Binocular Rivalry
    14:34

    How to Create and Use Binocular Rivalry

    Published on: November 10, 2010

    77.1K
    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
    07:45

    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

    Published on: July 21, 2020

    5.1K

    Related Experiment Videos

    Last Updated: Apr 4, 2026

    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues
    08:04

    Measuring Sensitivity to Viewpoint Change with and without Stereoscopic Cues

    Published on: December 4, 2013

    4.9K
    How to Create and Use Binocular Rivalry
    14:34

    How to Create and Use Binocular Rivalry

    Published on: November 10, 2010

    77.1K
    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition
    07:45

    Assessing Binocular Central Visual Field and Binocular Eye Movements in a Dichoptic Viewing Condition

    Published on: July 21, 2020

    5.1K

    Area of Science:

    • Scientific Computing
    • Medical Imaging
    • Computer Graphics
    • Human-Computer Interaction

    Background:

    • Volume rendering is crucial for visualizing complex 3D data in scientific computing and medical imaging.
    • Transparency in volume rendering aids internal structure visualization but can cause spatial ambiguity.
    • Existing stereoscopic displays offer limited improvement for resolving transparency-induced ambiguity.

    Purpose of the Study:

    • To propose a novel thaumatrope method to enhance 3D spatial understanding in stereoscopic volume rendering.
    • To address the ambiguity issues inherent in highly transparent volumetric data visualizations.
    • To improve the recognition of spatial relationships within complex 3D structures.

    Main Methods:

    • A thaumatrope technique was developed, generating an auxiliary cue with high opacity to reduce spatial ambiguity.
    • Prominent features from the high-opacity cue are selectively displayed to avoid cluttering the primary visualization.
    • Rapid, alternating display of the actual content and the selected feature is employed.

    Main Results:

    • User study results indicate the thaumatrope method significantly enhances spatial understanding compared to standard stereoscopic volume rendering.
    • The proposed approach outperformed static combinations of detailed and simplified views in a 3D display environment.
    • Participants demonstrated improved recognition of spatial relationships using the thaumatrope method.

    Conclusions:

    • The thaumatrope method offers a superior solution for improving 3D comprehension in stereoscopic volume rendering.
    • This technique effectively mitigates ambiguity in visualizing transparent volumetric data.
    • The findings suggest a promising new direction for enhancing scientific and medical visualizations.