Physically blurred faces are more recognizable at a distance

Previous work has shown that faces with a high degree of blur are more recognizable at smaller sizes. In addition, blurry faces generate identity adaptation aftereffects at small, but not large, sizes. This small-size advantage for blurry faces has been observed using digitally scaled and blurred face images. Here, we examine whether the small-size advantage persists in a paradigm with greater ecological validity, where size variation is achieved through viewing distance, and blurring is achieved via physical blurring filters. We tested 12 participants (5 females, 7 males, ages: 20-44 years, M=26.67, SD=7.16) in a face recognition protocol at two viewing distances (1m and 0.35m) corresponding to small (1.66 degree) and large (4.75 degree) face sizes. At each trial, a celebrity face was displayed on a computer screen until response. Trials were blocked by viewing distance (close vs. far), where a randomly selected half of 100 celebrity images were viewed at each distance. The order of blocks was counterbalanced across participants. Faces were viewed behind a 1-degree Luminit holographic Light Shaping Diffusers (LSD®), such that blur level was fixed throughout the experiment. Participants were asked to identify the celebrity at each trial. If the participant was unable to correctly identify the face, they were immediately shown intact images of the celebrity to determine whether they were unfamiliar with the celebrity, in which case the trial was discarded. Face recognition accuracy was 66.22% at the small size, significantly higher than the 60.19% at the large size (p=0.014, d=0.39). Ten out of 12 participants showed the small-size advantage at the individual level. These results replicate earlier findings of better recognition for blurry faces at smaller sizes with digital manipulation of blur and size, and extend them by demonstrating that this small-size advantage generalizes to physically blurred faces viewed at varying distances.

Authors

Institutions

Publication Details

Journal
Journal of Vision
Published
2024-09-15
DOI
https://doi.org/10.1167/jov.24.10.1349
Primary Topic
Face recognition and analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Physically blurred faces are more recognizable at a distance

İpek Oruç, Claudia Wu, Lei Yuan
Journal of Vision
Face recognition and analysis
article

Physically blurred faces are more recognizable at a distance

İpek Oruç, Claudia Wu, Lei Yuan
article en

Abstract

Previous work has shown that faces with a high degree of blur are more recognizable at smaller sizes. In addition, blurry faces generate identity adaptation aftereffects at small, but not large, sizes. This small-size advantage for blurry faces has been observed using digitally scaled and blurred face images. Here, we examine whether the small-size advantage persists in a paradigm with greater ecological validity, where size variation is achieved through viewing distance, and blurring is achieved via physical blurring filters. We tested 12 participants (5 females, 7 males, ages: 20-44 years, M=26.67, SD=7.16) in a face recognition protocol at two viewing distances (1m and 0.35m) corresponding to small (1.66 degree) and large (4.75 degree) face sizes. At each trial, a celebrity face was displayed on a computer screen until response. Trials were blocked by viewing distance (close vs. far), where a randomly selected half of 100 celebrity images were viewed at each distance. The order of blocks was counterbalanced across participants. Faces were viewed behind a 1-degree Luminit holographic Light Shaping Diffusers (LSD®), such that blur level was fixed throughout the experiment. Participants were asked to identify the celebrity at each trial. If the participant was unable to correctly identify the face, they were immediately shown intact images of the celebrity to determine whether they were unfamiliar with the celebrity, in which case the trial was discarded. Face recognition accuracy was 66.22% at the small size, significantly higher than the 60.19% at the large size (p=0.014, d=0.39). Ten out of 12 participants showed the small-size advantage at the individual level. These results replicate earlier findings of better recognition for blurry faces at smaller sizes with digital manipulation of blur and size, and extend them by demonstrating that this small-size advantage generalizes to physically blurred faces viewed at varying distances.

Journal of VisionVol. 24(10)
University of British Columbia (CA)
Openalex Percentile: Top 84%
Face recognition and analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.