Robust Real-Time Face Detection

@article{Viola2004RobustRF,
  title={Robust Real-Time Face Detection},
  author={P. Viola and M. Jones},
  journal={International Journal of Computer Vision},
  year={2004},
  volume={57},
  pages={137-154}
}
  • P. Viola, M. Jones
  • Published 2004
  • Computer Science
  • International Journal of Computer Vision
  • This paper describes a face detection framework that is capable of processing images extremely rapidly while achieving high detection rates. [...] Key Method The second is a simple and efficient classifier which is built using the AdaBoost learning algorithm (Freund and Schapire, 1995) to select a small number of critical visual features from a very large set of potential features.Expand Abstract
    9,621 Citations
    Face Detection using Neural Network
    • 20
    A face detector based on color and texture
    • M. Mahmoodi, S. M. Sayedi
    • Computer Science
    • 2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)
    • 2014
    • 5
    Robust and Efficient Multipose Face Detection Using Skin Color Segmentation
    • 13
    Spatial Merging for Face Detection
    • 12
    Adaptive methodologies for real-time skin segmentation and large-scale face detection

    References

    SHOWING 1-10 OF 43 REFERENCES
    A general framework for object detection
    • 1,468
    • Highly Influential
    • PDF
    Coarse-to-Fine Face Detection
    • 341
    • PDF
    Neural Network-Based Face Detection
    • 3,853
    • Highly Influential
    • PDF
    Example-Based Learning for View-Based Human Face Detection
    • 1,988
    • Highly Influential
    • PDF
    A SNoW-Based Face Detector
    • 356
    • Highly Influential
    • PDF
    Training support vector machines: an application to face detection
    • 2,730
    • PDF
    Boosting Image Retrieval
    • K. Tieu, P. Viola
    • Computer Science
    • International Journal of Computer Vision
    • 2004
    • 320
    • PDF
    A Computational Model for Visual Selection
    • 200
    • Highly Influential
    • PDF
    A statistical method for 3D object detection applied to faces and cars
    • H. Schneiderman, T. Kanade
    • Computer Science
    • Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662)
    • 2000
    • 1,185
    • Highly Influential
    • PDF
    Joint Induction of Shape Features and Tree Classifiers
    • 199
    • PDF