A Survey of Face Recognition Techniques

@article{Jafri2009ASO,
  title={A Survey of Face Recognition Techniques},
  author={Rabia Jafri and Hamid Reza Arabnia},
  journal={J. Inf. Process. Syst.},
  year={2009},
  volume={5},
  pages={41-68}
}
Face recognition presents a challenging problem in the field of image analysis and computer vision, and as such has received a great deal of attention over the last few years because of its many applications in various domains. Face recognition techniques can be broadly divided into three categories based on the face data acquisition methodology: methods that operate on intensity images; those that deal with video sequences; and those that require other sensory data such as 3D information or… 

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References

SHOWING 1-10 OF 297 REFERENCES

Face recognition: A literature survey

This paper provides an up-to-date critical survey of still- and video-based face recognition research, and categorizes existing recognition techniques but also presents detailed descriptions of representative methods within each category.

Human and machine recognition of faces: a survey

A critical survey of existing literature on human and machine recognition of faces is presented, followed by a brief overview of the literature on face recognition in the psychophysics community and a detailed overview of move than 20 years of research done in the engineering community.

Detecting Faces in Images: A Survey

Images containing faces are essential to intelligent vision-based human-computer interaction, and research efforts in face processing include face recognition, face tracking, pose estimation and

Face Recognition with Local Binary Patterns

It appeared that LBP can easily be combined with Principal Component Analysis to reduce the length of the feature vector, while the recognition performance only slightly decreases, especially compared to other face recognition methods.

Fusion of Face Recognition Algorithms for Video-Based Surveillance Systems

For the purposes of this chapter, the face recognition applications can be subdivided in two types: applications in controlled and uncontrolled environments.

Automatic Face Recognition

It is concluded that a face recognition system should integrate 3D capabilities in order to benefit from the complementarity of the geometrical and gray-level information.

Face Recognition: The Problem of Compensating for Changes in Illumination Direction

Evaluating the sensitivity of image representations to changes in illumination, as well as viewpoint and facial expression, indicated that none of the representations considered is sufficient by itself to overcome image variations because of a change in the direction of illumination.

Face recognition by independent component analysis

Independent component analysis (ICA), a generalization of PCA, was used, using a version of ICA derived from the principle of optimal information transfer through sigmoidal neurons, which was superior to representations based on PCA for recognizing faces across days and changes in expression.

A Survey of 3D Face Recognition Methods

The main purpose of this overview is to describe the recent 3D face recognition algorithms, which hold more information of the face, like surface information, that can be used for face recognition or subject discrimination.
...