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

Visual perception of shape-transforming processes: 'Shape Scission'.

Filipp Schmidt1, Flip Phillips2, Roland W Fleming3

  • 1Justus Liebig University, Giessen, Germany.

Cognition
|April 16, 2019
PubMed
Summary
This summary is machine-generated.

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

Connecting the dots - recognition of artificial and natural shapes relies on representing points of high information.

Vision research·2026
Same author

Visual Perception of 3D Shape: From Local 2D Image Measurements to 3D Surface Properties.

Annual review of vision science·2026
Same author

Visual cues and strategies for perceiving elasticity.

Proceedings. Biological sciences·2026
Same author

Human gloss perception reproduced by tiny neural networks.

Nature human behaviour·2026
Same author

No free lunch with the binding problem.

Trends in cognitive sciences·2026
Same author

Material fingerprinting: predicting human perception of material appearance through psychophysical analysis and neural networks.

Royal Society open science·2025
Same journal

Corrigendum to 'Consonant, vowel, and tone cues in early wordform recognition: Evidence from Cantonese-learning infants' [Cognition 275 (2026) 106624].

Cognition·2026
Same journal

Identifying distinct sources of whole number interference in children's decimal comparison: the role of numerical magnitude and inhibitory control.

Cognition·2026
Same journal

Evidence for abstract spatial concept learning in young animals.

Cognition·2026
Same journal

Blurred lines or clear boundaries? Synchrony and social dominance shape domain-specific self-other processing.

Cognition·2026
Same journal

Knowability predicts curiosity and learning.

Cognition·2026
Same journal

Throwing good effort after bad: Evidence for a sunk-cost effect in cognitive effort-based decision-making.

Cognition·2026
See all related articles

Humans can successfully separate original object shapes from transformation-induced features, a process termed "shape scission." This ability allows for flexible mental access to shape representations, distinguishing inherent form from imposed changes.

Area of Science:

  • Cognitive psychology
  • Computer vision
  • Perceptual science

Background:

  • Shape-deforming processes alter object appearances, making it difficult to distinguish original features from transformation effects.
  • Understanding how the human visual system segregates these shape components is crucial for object recognition and scene understanding.

Purpose of the Study:

  • To investigate whether observers can differentiate features arising from an object's original form versus those imposed by shape transformations.
  • To explore the cognitive process of 'shape scission'—the separation of original shape characteristics from transformation-induced features.

Main Methods:

  • Utilized computer graphics to generate unfamiliar objects subjected to various transformations (e.g., twisting, inflating).
  • Employed participant tasks including transformation naming, object classification (by original shape or transformation type), and digital painting to localize transformed areas.
Keywords:
CategorizationGestaltObjectsPerceptual organizationRecognitionVision

Related Experiment Videos

  • Parametrically varied transformation magnitudes and analyzed participant ratings of transformation degree.
  • Main Results:

    • Participants accurately classified objects based on original shape or transformation type, demonstrating effective shape scission.
    • Participants could reliably localize transformed regions on objects.
    • Transformation ratings correlated with magnitude and affected area, with a tendency to overestimate small transformations.

    Conclusions:

    • Human observers possess a robust ability to perform shape scission, separating original shape features from transformation-induced ones.
    • This capability allows for flexible access to different representational layers of object shape.
    • The findings have implications for understanding visual perception, object recognition, and mental imagery.