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 Experiment Videos

Motion-blur illusions

F Gosselin1, C Lamontagne

  • 1Department of Psychology, University of Glasgow, UK. gosselif@psy.gla.ac.uk

Perception
|January 1, 1997
PubMed
Summary
This summary is machine-generated.

A new algorithmic model explains four visual illusions, including the still-radii and figure-of-eight illusions. This model predicts motion-blur illusions from moving gray-shaded patterns, demonstrating broad applicability.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Macroclimate modulates the positive dead-wood influence on bryophyte diversity in managed and unmanaged temperate lowland forests.

Journal of environmental management·2024
Same author

Assessment of an anti-scale low-frequency electromagnetic field device on drinking water biofilms.

Biofouling·2019
Same author

Time course of the use of chromatic and achromatic facial information for sex categorization.

Vision research·2018
Same author

Efficient information for recognizing pain in facial expressions.

European journal of pain (London, England)·2015
Same author

Drinking water and biofilm disinfection by Fenton-like reaction.

Water research·2013
Same author

Impact of the virulence-associated MAb3/1 epitope on the physicochemical surface properties of Legionella pneumophila sg1: An issue to explain infection potential?

Colloids and surfaces. B, Biointerfaces·2010
Same journal

Predictive models and parameter analysis for multiple tactile perceptions in skin-wet fabrics interface.

Perception·2026
Same journal

High-resolution kitsch by AI: Why society needs art, not more AI content.

Perception·2026
Same journal

Benchmarking spatial discrimination thresholds of two-frame motion defined forms compared to luminance and stereoscopic defined forms.

Perception·2026
Same journal

The effect of face masks on the perception of trustworthiness and competence in individuals with autistic traits.

Perception·2026
Same journal

The importance of external features for categorizing ethnicity: can Koreans identify Korean, Japanese, and Chinese faces?

Perception·2026
Same journal

Interoception, alexithymia, and motor congruency: Psychological drivers of body ownership in virtual reality.

Perception·2026
See all related articles

Area of Science:

  • Visual Perception
  • Computational Neuroscience
  • Psychophysics

Background:

  • Several visual illusions, such as the still-radii, figure-of-eight, band-of-heightened-intensity, and dark-blurred-concentric-circles illusions, have been documented but lack a unified explanation.
  • These phenomena were previously considered isolated and poorly understood visual effects.

Purpose of the Study:

  • To propose a single algorithmic model capable of explaining multiple, previously disparate visual illusions.
  • To demonstrate the model's predictive power for a broader class of visual phenomena, termed 'motion-blur illusions'.
  • To introduce a novel, easily reproducible visual illusion to showcase the model's generality.

Main Methods:

  • Development of a unified algorithmic model based on visual processing principles.

Related Experiment Videos

  • Computer simulation to test the model's predictions against known illusions.
  • Introduction of a new visual illusion to validate the model's predictive capabilities.

    • Main Results:

    • The proposed algorithmic model successfully explains the still-radii, figure-of-eight, band-of-heightened-intensity, and dark-blurred-concentric-circles illusions.
    • The model accurately predicts visual phenomena generated by the motion of gray-shaded patterns relative to the observer.
    • A novel motion-blur illusion was demonstrated, confirming the model's broad applicability.

    Conclusions:

    • A single algorithmic framework can explain a range of visual illusions previously considered unrelated.
    • The model provides a unified explanation for motion-blur illusions, advancing the understanding of visual perception.
    • The proposed model offers a generalizable approach to understanding and predicting visual illusions.