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arXiv · 1603.09364

Partial Face Detection for Continuous Authentication

Upal Mahbub·Vishal M. Patel·Deepak Chandra·Brandon Barbello·Rama Chellappa
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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.

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Upal Mahbub, Vishal M. Patel, Deepak Chandra, Brandon Barbello, Rama Chellappa. 2016-03-30. Partial Face Detection for Continuous Authentication. https://doi.org/10.1109/icip.2016.7532908

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