The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Face detection from color images using a fuzzy pattern matching method
Abstract
This paper describes a new method to detect faces in color images based on the fuzzy theory. We make two fuzzy models to describe the skin color and hair color, respectively. In these models, we use a perceptually uniform color space to describe the color information to increase the accuracy and stableness. We use the two models to extract the skin color regions and the hair color regions, and then comparing them with the prebuilt head-shape models by using a fuzzy theory based pattern-matching method to detect face candidates.
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Citations
Cites
Original approach for the localisation of objects in images
Vaillant, R. (1994) · IEE Proceedings - Vision, Image, and Signal Processing · doi:10.1049/ip-vis:19941301 · Cited by 280
Cited by
Detecting faces in images: a survey
Yang, M.-H., Kriegman, D. J., & Ahuja, N. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.982883 · Cited by 3,427
Fleuret, F., & Geman, D. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011113216584 · Cited by 273
Metadata
- Authors
- Wu, H., Chen, Q., & Yachida, M.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 1999-06
- Volume
- 21
- Issue
- 6
- Pages
- 557-563
- ISSN
- 0162-8828 (ISSN-L)
- OpenAlex
- W2152756361
- Cited by
- 247
- References
- 1
- FWCI
- 17.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Face detection from color images using a fuzzy pattern matching method. https://app.cochat.ai/papers/10.1109/34.771326
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- Wu, H., Chen, Q., & Yachida, M. (1999). Face detection from color images using a fuzzy pattern matching method. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.771326
Data sources
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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
