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

Locus of spatial-frequency discrimination.

C A Burbeck1

  • 1Visual Sciences Program, SRI International, Menlo Park, California 94025.

Journal of the Optical Society of America. A, Optics and Image Science
|September 1, 1987
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

Measuring perceived 3D shape at multiple spatial scales.

Vision research·1999
Same author

Scaled medial axis representation: evidence from position discrimination task.

Vision research·1998
Same author

Across-object relationships in perceived object orientation.

Vision research·1997
Same author

Occlusion edge blur: a cue to relative visual depth.

Journal of the Optical Society of America. A, Optics, image science, and vision·1996
Same author

Linking object boundaries at scale: a common mechanism for size and shape judgments.

Vision research·1996
Same author

Object representation by cores: identifying and representing primitive spatial regions.

Vision research·1995
Same journal

Phase retrieval with prior information.

Journal of the Optical Society of America. A, Optics and image science·2008
Same journal

Clinical microscopy of the cornea utilizing optical sectioning and a high-numerical-aperture objective.

Journal of the Optical Society of America. A, Optics and image science·1993
Same journal

Eye-tracking laser Doppler velocimeter stabilized in two dimensions: principle, design, and construction.

Journal of the Optical Society of America. A, Optics and image science·1993
Same journal

Effects of aging in retinal image quality.

Journal of the Optical Society of America. A, Optics and image science·1993
Same journal

Axial eye-length measurement by wavelength-shift interferometry.

Journal of the Optical Society of America. A, Optics and image science·1993
Same journal

Fractal analysis of steady-state-flicker visual evoked potentials: feasibility.

Journal of the Optical Society of America. A, Optics and image science·1993
See all related articles

This study suggests that humans compare object spatial frequencies, not retinal ones, during visual perception tasks. This finding implies efficient visual system design for real-world object recognition.

Area of Science:

  • Visual perception
  • Human psychophysics
  • Computational neuroscience

Background:

  • Spatial frequency discrimination is crucial for visual processing.
  • Current models hypothesize comparison of retinal spatial frequencies.
  • This study investigates the basis of spatial frequency comparison.

Purpose of the Study:

  • To test whether observers compare retinal or object spatial frequencies.
  • To determine if depth cues influence spatial frequency discrimination.
  • To understand the underlying mechanisms of visual spatial processing.

Main Methods:

  • Gratings were presented at varying viewing distances with strong depth cues.
  • Object spatial frequencies were manipulated while retinal frequencies varied.

Related Experiment Videos

  • Observer performance in comparing object spatial frequencies was measured.

    • Main Results:

    • Introducing depth cues had a negligible effect on performance.
    • Observers showed an inability to learn retinal frequency comparison.
    • Interstimulus interval did not affect performance, suggesting long-term storage.

    Conclusions:

    • Evidence supports the hypothesis that observers compare object spatial frequencies.
    • Findings suggest a robust visual system design prioritizing real-world object properties.
    • The visual system efficiently processes spatial information for object recognition.