Real-time face detection and recognition using hybrid-information extracted from face space and facial features

@article{Bae2005RealtimeFD,
  title={Real-time face detection and recognition using hybrid-information extracted from face space and facial features},
  author={Hyeon Bae and Sungshin Kim},
  journal={Image Vision Comput.},
  year={2005},
  volume={23},
  pages={1181-1191}
}
This paper describes both face detection using the eigenface space and face recognition using neural networks. Real-time face detection from face images was performed in two steps. In the first step, a normalized skin color map based on the Gaussian function was applied to extract a face candidate region. The facial feature information in the candidate region was employed to detect the face region. In this step, face detection was sequentially accomplished using three methods. DFFS, a… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-10 OF 20 CITATIONS

An Efficient Feature Level Extractions for Facial Recognition: A Comprehensive Review

  • 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE)
  • 2018

Evaluation of relevance vector machine classifier for a real-time face recognition system

  • 2017 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia)
  • 2017
VIEW 1 EXCERPT
CITES METHODS

A novel approach for face detection using artificial neural network

  • 2013 International Conference on Intelligent Systems and Signal Processing (ISSP)
  • 2013
VIEW 1 EXCERPT
CITES METHODS

System for automatic faces detection

  • 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA)
  • 2012
VIEW 1 EXCERPT
CITES METHODS