Testing Peepers on Pixels: A Demo of Human Recognition Accuracy for Low Resolution Faces
How well can humans recognize faces at extremely low resolution? We conducted a controlled study with 100 participants to evaluate this question—and now FG2025 attendees can try it for themselves. Our interactive demo challenges attendees to match heavily degraded probe images to high-quality reference images, simulating conditions common in operational face recognition contexts. In doing so, it highlights the perceptual limits of human recognition and the risk of misidentification in high-stakes settings. The demo runs offline on standard laptops, collects no personal data, and takes about three minutes to complete.
Authors
- Xavier Merino
- Kevin W. Bowyer (ORCID: https://orcid.org/0000-0002-7562-4390)
- Gabriella Pangelinan
- Samuel Langborgh
- Michael C. King (ORCID: https://orcid.org/0000-0003-3201-416X)
Institutions
- Florida Institute of Technology (US)
- University of Notre Dame (US)
Publication Details
- Published
- 2025-05-26
- DOI
- https://doi.org/10.1109/fg61629.2025.11099247
- Primary Topic
- Face recognition and analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00