Overview of the Multiple Biometrics Grand Challenge
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
FRVT 2006: Quo Vadis face quality
Image and Vision Computing
An other-race effect for face recognition algorithms
ACM Transactions on Applied Perception (TAP)
A bi-objective optimization model for interactive face retrieval
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Circular shortest path as a method of detection and refinement of iris borders in eye image
Journal of Computer and Systems Sciences International
The results of the NICE.II Iris biometrics competition
Pattern Recognition Letters
The Good, the Bad, and the Ugly Face Challenge Problem
Image and Vision Computing
Demographic effects on estimates of automatic face recognition performance
Image and Vision Computing
An interactive tool for extremely dense landmarking of faces
Proceedings of the 1st International Workshop on Visual Interfaces for Ground Truth Collection in Computer Vision Applications
Genetically identical irises have texture similarity that is not detected by iris biometrics
Computer Vision and Image Understanding
Comparing face recognition algorithms to humans on challenging tasks
ACM Transactions on Applied Perception (TAP)
3D/4D facial expression analysis: An advanced annotated face model approach
Image and Vision Computing
Method to evaluate pose variability in automatic face recognition performance
International Journal of Biometrics
Illumination normalization using self-lighting ratios for 3d2d face recognition
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume 2
Iris center location using Hough transform with two-dimensional parameter space
Journal of Computer and Systems Sciences International
Illumination normalization for face recognition under extreme lighting conditions
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Effective elliptic fitting for iris normalization
Computer Vision and Image Understanding
Introduction to face recognition and evaluation of algorithm performance
Computational Statistics & Data Analysis
Selective generation of Gabor features for fast face recognition on mobile devices
Pattern Recognition Letters
Low-resolution face recognition: a review
The Visual Computer: International Journal of Computer Graphics
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This paper describes the large-scale experimental results from the Face Recognition Vendor Test (FRVT) 2006 and the Iris Challenge Evaluation (ICE) 2006. The FRVT 2006 looked at recognition from high-resolution still frontal face images and 3D face images, and measured performance for still frontal face images taken under controlled and uncontrolled illumination. The ICE 2006 evaluation reported verification performance for both left and right irises. The images in the ICE 2006 intentionally represent a broader range of quality than the ICE 2006 sensor would normally acquire. This includes images that did not pass the quality control software embedded in the sensor. The FRVT 2006 results from controlled still and 3D images document at least an order-of-magnitude improvement in recognition performance over the FRVT 2002. The FRVT 2006 and the ICE 2006 compared recognition performance from high-resolution still frontal face images, 3D face images, and the single-iris images. On the FRVT 2006 and the ICE 2006 data sets, recognition performance was comparable for high-resolution frontal face, 3D face, and the iris images. In an experiment comparing human and algorithms on matching face identity across changes in illumination on frontal face images, the best performing algorithms were more accurate than humans on unfamiliar faces.