Design and evaluation of photometric image quality measures for effective face recognition

By A. Abaza, Mary Ann F. Harrison, T. Bourlai, Arun A. Ross. 2014

76 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering

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. Samil Karahan
2. Hazim Kemal Ekenel
3. Kadir Kirtaç
4. Ferhat Sükrü Rende
5. Gultekin Butun
6. Merve Kilinc Yildirim

Citations in the corpus

• How Image Degradations Affect Deep CNN-Based Face Recognition? (2016, background): “In the literature, the effects of quality factors such as contrast, brightness, sharpness, focus, and illumination on commercial face recognition system [6] and shallow representation based face recognition [7] are studied.”