Partial Face Detection for Continuous Authentication
Computer Vision and Pattern Recognition
2017-04-10 v1
Abstract
In this paper, a part-based technique for real time detection of users' faces on mobile devices is proposed. This method is specifically designed for detecting partially cropped and occluded faces captured using a smartphone's front-facing camera for continuous authentication. The key idea is to detect facial segments in the frame and cluster the results to obtain the region which is most likely to contain a face. Extensive experimentation on a mobile dataset of 50 users shows that our method performs better than many state-of-the-art face detection methods in terms of accuracy and processing speed.
Cite
@article{arxiv.1603.09364,
title = {Partial Face Detection for Continuous Authentication},
author = {Upal Mahbub and Vishal M. Patel and Deepak Chandra and Brandon Barbello and Rama Chellappa},
journal= {arXiv preprint arXiv:1603.09364},
year = {2017}
}