Robust Real-Time Face Detection
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In 2001, P. Viola and M. Jones achieved real-time detection of human faces for the first time without any constraints.
“In 2001, P. Viola and M. Jones achieved real-time detection of human faces for the first time without any constraints (e.g., skin color segmentation) [10, 11].”
From Object Detection in 20 Years: A Survey (2023) · cites this paper as [11]
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- Authors
- Viola, P., & Jones, M. J.
- Affiliations
- Microsoft (United States) (US)
- Mitsubishi Electric Research Laboratories (United States) (US)
- ORCID
- Jones, Michael J.
- Venue
- International Journal of Computer Vision
- Published
- 2004-05
- Volume
- 57
- Issue
- 2
- Pages
- 137-154
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W3097096317
- Cited by
- 14,097
- References
- 22
- Citations by year
- 2026: 104 · 2025: 212 · 2024: 280 · 2023: 390 · 2022: 517 · 2021: 640 · 2020: 675 · 2019: 837 · 2018: 848 · 2017: 954 · 2016: 945 · 2015: 1115 · 2014: 1048 · 2013: 993 · 2012: 933
- FWCI
- 290.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- International Journal of Computer Vision (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- face detection, real-time detection, integral image, AdaBoost, feature selection, background suppression, computational efficiency
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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