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

Spatial frequency thresholds for face recognition when comparison faces are filtered and unfiltered.

Charles A Collin1, Megan Therrien, Cheron Martin

  • 1School of Psychology, University of Ottawa, Ottawa, Ontario, Canada. ccollin@uottawa.ca

Perception & Psychophysics
|December 13, 2006
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

Getting to know you: Gaze behaviours and biographical information in face-name associations.

Acta psychologica·2026
Same author

The Second Database of Emotional Videos from Ottawa (DEVO-2): Over 1300 brief video clips rated on valence, arousal, impact, and familiarity.

Behavior research methods·2025
Same author

Executive Function Predicts Older Adults' Lure Discrimination Difficulties on the Mnemonic Similarity Task.

The journals of gerontology. Series B, Psychological sciences and social sciences·2023
Same author

Effects of forward mask duration variability on the temporal dynamics of brief facial expression categorization.

i-Perception·2023
Same author

Different measures of holistic face processing tap into distinct but partially overlapping mechanisms.

Attention, perception & psychophysics·2021
Same author

Electromyographic evidence of reduced emotion mimicry in individuals with a history of non-suicidal self-injury.

PloS one·2020
Same journal

Response organization in selective adaptation to speech sounds.

Perception & psychophysics·2014
Same journal

Reaction times to comparisons within and across phonetic categories.

Perception & psychophysics·2012
Same journal

Auditory and phonetic memory codes in the discrimination of consonants and vowels.

Perception & psychophysics·2012
Same journal

Simple and contingent adaptation effects for place of articulation in stop consonants.

Perception & psychophysics·2012
Same journal

Auditory property detectors and processing place features in stop consonants.

Perception & psychophysics·2012
Same journal

Visual working memory for line orientations and face identities.

Perception & psychophysics·2008
See all related articles

Middle spatial frequencies (SFs) aid face recognition, but this benefit lessens when stimuli are filtered similarly. Our study shows task characteristics influence the optimal SF band for face matching.

Area of Science:

  • Visual perception
  • Cognitive psychology
  • Neuroscience

Background:

  • Previous research indicates middle spatial frequencies (SFs) are advantageous for face recognition.
  • Recent studies suggest this advantage diminishes when comparison and test stimuli share similar spatial filtering.

Purpose of the Study:

  • To investigate the role of spatial frequencies (SFs) in face matching.
  • To determine SF thresholds for face matching under varying spatial filtering conditions of comparison stimuli.

Main Methods:

  • Employed standard psychophysical methods.
  • Utilized a match-to-sample task to assess face matching.
  • Compared performance with unfiltered versus similarly filtered comparison stimuli.

Related Experiment Videos

Main Results:

  • Spatial frequencies (SFs) near the middle band were prioritized more when comparison stimuli were unfiltered.
  • The preference for middle SFs decreased when comparison stimuli were filtered identically to test stimuli.

Conclusions:

  • The utility of middle SFs in visual tasks may be task-dependent.
  • The optimal range of middle SFs for face recognition can be influenced by specific task parameters and filtering conditions.