The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The Role of Eyebrows in Face Recognition
Abstract
A fundamental challenge in face recognition lies in determining which facial characteristics are important in the identification of faces. Several studies have indicated the significance of certain facial features in this regard, particularly internal ones such as the eyes and mouth. Surprisingly, however, one rather prominent facial feature has received little attention in this domain: the eyebrows. Past work has examined the role of eyebrows in emotional expression and nonverbal communication, as well as in facial aesthetics and sexual dimorphism. However, it has not been made clear whether the eyebrows play an important role in the identification of faces. Here, we report experimental results which suggest that for face recognition the eyebrows may be at least as influential as the eyes. Specifically, we find that the absence of eyebrows in familiar faces leads to a very large and significant disruption in recognition performance. In fact, a significantly greater decrement in face recognition is observed in the absence of eyebrows than in the absence of eyes. These results may have important implications for our understanding of the mechanisms of face recognition in humans as well as for the development of artificial face-recognition systems.
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Face Recognition by Humans: Nineteen Results All Computer Vision Researchers Should Know About
Sinha, P., Balas, B., Ostrovsky, Y., & Russell, R. (2006) · Proceedings of the IEEE · doi:10.1109/jproc.2006.884093 · Cited by 674
Self-citationSubtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns
Kwak, K., Giovanello, K. S., Bozoki, A., Styner, M., & Dayan, E. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100467 · Cited by 47
Identification using face regions: Application and assessment in forensic scenarios
Tome, P., Fierrez, J., Vera-Rodriguez, R., & Ramos, D. (2013) · Forensic Science International · doi:10.1016/j.forsciint.2013.08.020 · Cited by 49
Feature instructions improve face-matching accuracy
Megreya, A. M., & Bindemann, M. (2018) · PLOS ONE · doi:10.1371/journal.pone.0193455 · Cited by 36
Recognizing Human Races through Machine Learning—A Multi-Network, Multi-Features Study
Darabant, A. S., Borza, D., & Danescu, R. (2021) · Mathematics · doi:10.3390/math9020195 · Cited by 24
Metadata
- Authors
- Sadr, J., Jarudi, I., & Sinha, P.
- Venue
- Perception
- Publisher
- SAGE Publications
- Published
- 2003-03
- Volume
- 32
- Issue
- 3
- Pages
- 285-293
- ISSN
- 0301-0066 (ISSN-L)
- 1468-4233
- OpenAlex
- W2004126537
- Cited by
- 364
- References
- 16
- FWCI
- 2.91
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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