Face recognition: A literature survey

@article{Zhao2003FaceRA,
  title={Face recognition: A literature survey},
  author={Wen Zhao and Rama Chellappa and P. Jonathon Phillips and Azriel Rosenfeld},
  journal={ACM Comput. Surv.},
  year={2003},
  volume={35},
  pages={399-458}
}
As one of the most successful applications of image analysis and understanding, face recognition has recently received significant attention, especially during the past several years. At least two reasons account for this trend: the first is the wide range of commercial and law enforcement applications, and the second is the availability of feasible technologies after 30 years of research. Even though current machine recognition systems have reached a certain level of maturity, their success is… 
Image-based Face Recognition: Issues and Methods 1
As one of the most successful applications of image analysis and understanding, face recognition has recently gained signiicant attention, especially during the past several years. There are at least
Video-based Face Recognition: A Survey
TLDR
This paper categorizes existing video based face recognition approaches and presents detailed descriptions of representative methods within each category and relevant topics such as real time detection, real time tracking for video, issues such as illumination, pose, 3D and low resolution are covered.
Review on Different Face Recognition Techniques
FACE recognition is an important research problem in the field of Pattern Recognition. As one of the most successful applications of image analysis and understanding, face recognition has recently
Image � based Face Recognition Issues and
As one of the most successful applications of image analysis and understanding face recognition has recently gained signi cant attention especially during the past sev eral years There are at least
A Survey of Face Recognition Techniques
TLDR
A discussion outlining the incentive for using face recognition, the applications of this technology, and some of the difficulties plaguing current systems with regard to this task has been provided.
FACE RECOGNITION: HOLISTIC APPROACHES AN ANALYTICAL SURVEY
Abstract: Face recognition has been in spot light for last few decades by keeping in view its increasing usage in real world applications, still challenges are there to meet, especially in real world
Enhancement and extensions of principal component analysis for face recognition
TLDR
A set of effective pre-processing techniques that can be employed prior to PCA in order to obtain improved recognition rate and computational complexity are developed and an extended two-dimensional PCA method is proposed for face recognition.
A REVIEW ON STATE-OF-THE-ART FACE RECOGNITION APPROACHES
TLDR
An overview of the state-of-the-art FR algorithms, focusing their performances on publicly available databases, and highlights the conditions of the image databases with regard to the recognition rate of each approach.
Remote identification of faces: Problems, prospects, and progress
TLDR
It is demonstrated that in addition to applying a good classification algorithm, finding features that are robust to variations mentioned above and developing statistical models which can account for these variations are very important for remote face recognition.
Remote Identification of Faces
TLDR
In this chapter, a remote face database which has been acquired in an unconstrained outdoor maritime environment is described and recognition performance of a subset of existing still image-based face recognition algorithms is discussed on the remote face data set.
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References

SHOWING 1-10 OF 432 REFERENCES
Face Detection: A Survey
TLDR
A comprehensive and critical survey of face detection algorithms, ranging from simple edge-based algorithms to composite high-level approaches utilizing advanced pattern recognition methods, is presented.
Human and machine recognition of faces: a survey
TLDR
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.
Face recognition under varying pose
  • D. Beymer
  • Computer Science
    1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
  • 1994
TLDR
The goal is to build a face recognizer that works under varying pose, the difficult part of which is to handle face relations in depth.
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: The Problem of Compensating for Changes in Illumination Direction
TLDR
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 vendor test 2002
TLDR
Results show that recognition from indoor images has made substantial progress since FRVT 2000 and that three-dimensional morphable models and normalization increase performance and that face recognition from video sequences offers only a limited increase in performance over still images.
Dynamic Vision - From Images to Face Recognition
TLDR
Many of the issues raised are relevant to object recognition in general, and such visual learning machines have numerous potential applications in areas such as visual surveillance multimedia and visually mediated interaction.
Feature-based face recognition using mixture-distance
  • I. Cox, J. Ghosn, P. Yianilos
  • Mathematics, Computer Science
    Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition
  • 1996
TLDR
The results demonstrate that even in the absence of multiple training examples for each class, it is sometimes possible to infer from a statistical model of training data, a significantly improved distance function for use in pattern recognition.
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
We present a generative appearance-based method for recognizing human faces under variation in lighting and viewpoint. Our method exploits the fact that the set of images of an object in fixed pose,
Face Recognition Vendor Test 2000: Evaluation Report
TLDR
The Facial Recognition Vendor Test 2000 (FRVT 2000) was cosponsored by the DoD Counterdrug Technology Development Program Office, the National Institute of Justice and the Defense Advanced Research Projects Agency and was administered in May and June 2000.
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