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Cited by 1,843

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Face detection in color images

Rein-Lien Hsu, Abdel-Mottaleb, M., Jain, A.K.·2002·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

Human face detection plays an important role in applications such as video surveillance, human computer interface, face recognition, and face image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds. Based on a novel lighting compensation technique and a nonlinear color transformation, our method detects skin regions over the entire image and then generates face candidates based on the spatial arrangement of these skin patches. The algorithm constructs eye, mouth, and boundary maps for verifying each face candidate. Experimental results demonstrate successful face detection over a wide range of facial variations in color, position, scale, orientation, 3D pose, and expression in images from several photo collections (both indoors and outdoors).

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Metadata

Authors
Hsu, R.-L., Abdel-Mottaleb, M., & Jain, A. K.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
2002-05
Volume
24
Issue
5
Pages
696-706
ISSN
0162-8828 (ISSN-L)
OpenAlex
W2106309274
Cited by
1,843
References
3
FWCI
94.73
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Face detection in color images. https://app.cochat.ai/papers/10.1109/34.1000242
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Hsu, R.-L., Abdel-Mottaleb, M., & Jain, A. K. (2002). Face detection in color images. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/34.1000242

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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.