A Survey of Face Recognition Techniques

By Rabia Jafri, Hamid Reza Arabnia. Journal of Information Processing Systems, 2009

847 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Signal Processing

View Paper: https://www.semanticscholar.org/paper/147fe6bfc76f30ccacc3620662511e452bc395f6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Manuel Günther
2. Mei Wang
3. Andras Rozsa
4. Weihong Deng
5. Terrance E. Boult
6. Mahadev Satyanarayanan
7. Norman M. Sadeh
8. Junjue Wang

In Signal Processing

1. Mei Wang
2. Weihong Deng
3. Anupam Das
4. Norman M. Sadeh
5. Andras Rozsa
6. Terrance E. Boult
7. Manuel Günther

Citations in the corpus

• Assisting Users in a World Full of Cameras: A Privacy-Aware Infrastructure for Computer Vision Applications (2017, background): “provide a comprehensive survey of the evolution of facial recognition technology [37], including breakthrough systems such as Eigenfaces [51] and Fisherfaces [27].”
• Deep Face Recognition: A Survey (2018, background): “Over the past few years, there have been several surveys on FR [222], [18], [3], [78], [136] and its subdomains, including illumination-invariant FR [234], 3D FR [136], pose-invariant FR [216] and so on.”
• LOTS about attacking deep features (2016, background): “Automatic face recognition has a long history and many different approaches have been proposed in the literature [26, 8, 20, 6].”