A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
A robust eye localization method for low quality face images
2011
2011 International Joint Conference on Biometrics (IJCB)
Eye localization is an important part in face recognition system, because its precision closely affects the performance of face recognition. Although various methods have already achieved high precision on the face images with high quality, their precision will drop on low quality images. In this paper, we propose a robust eye localization method for low quality face images to improve the eye detection rate and localization precision. First, we propose a probabilistic cascade (P-Cascade)
doi:10.1109/ijcb.2011.6117499
dblp:conf/icb/YiLL11
fatcat:f2ggimjt6fbnbejqj7q7e6o4qe