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

Stereoscopic surface perception.

B L Anderson1

  • 1Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge 02139, USA. bart@psyche.mit.edu

Neuron
|January 7, 2000
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

The time has come to consider neonatal outcomes when designing embryo transfer policies.

BJOG : an international journal of obstetrics and gynaecology·2014
Same author

Reporting vaccine complications: what do obstetricians and gynecologists know about the Vaccine Adverse Event Reporting System?

Infectious diseases in obstetrics and gynecology·2013
Same author

Stereovision: beyond disparity computations.

Trends in cognitive sciences·2011
Same author

On the use of microbend fiber optic mode strippers and scramblers: cautionary note.

Applied optics·2010
Same author

Spatial-coherence modulation for optical interconnections.

Applied optics·2010
Same author

Highly efficient interconnection for use with a multistage optical switching network with orthogonally polarized data and address information.

Applied optics·2010
Same journal

Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens.

Neuron·2026
Same journal

TGF-β1-induced endothelial transcytosis drives blood-brain barrier leakage during aging.

Neuron·2026
Same journal

Image space opens up for visual neuroscience.

Neuron·2026
Same journal

Septal GLP-1 receptors control alcohol taking and seeking.

Neuron·2026
Same journal

Microglial fitness in moderation: Tuning TREM2 signaling through Ptpn6.

Neuron·2026
Same journal

Human astrocytes keep time with inflammation.

Neuron·2026
See all related articles

New research shows that the visual system uses contrast cues at depth changes, not just binocular disparities, to understand 3D surfaces. This reveals a more complex process for stereoscopic vision and surface perception.

Area of Science:

  • Visual neuroscience
  • Computational vision
  • Psychophysics

Background:

  • Traditional models of stereopsis focus on binocular disparities for surface structure perception.
  • Existing frameworks may not fully explain all observed stereoscopic phenomena.

Purpose of the Study:

  • To investigate the role of contrast relationships in stereoscopic surface perception.
  • To challenge the sufficiency of binocular disparities as the sole determinant of perceived 3D structure.
  • To introduce a new theoretical framework for understanding visual scene interpretation.

Main Methods:

  • Reported novel stereoscopic phenomena.
  • Analyzed contrast relationships along depth discontinuities.
  • Developed a new theoretical model based on scene interpretation principles.

Related Experiment Videos

Main Results:

  • Demonstrated that contrast relationships, not solely binocular disparities, are crucial for inferring depth, lightness, and opacity.
  • Identified novel stereoscopic phenomena that highlight the limitations of disparity-only models.
  • Proposed a dual-principle framework (generic view and anchoring) for scene interpretation.

Conclusions:

  • The visual system utilizes contrast information at depth boundaries for 3D surface perception.
  • Perceived surface attributes depend on both qualitative geometry (generic view) and quantitative partitioning (anchoring).
  • A revised understanding of stereopsis is needed, incorporating contrast-based computations alongside disparity processing.