Deep Feature-based Face Detection on Mobile Devices
Center for Automation Research, University of Maryland, College Park, MD 20742
arXiv:1602.04868 [cs.CV], (16 Feb 2016)
@article{sarkar2016deep,
title={Deep Feature-based Face Detection on Mobile Devices},
author={Sarkar, Sayantan and Patel, Vishal M. and Chellappa, Rama},
year={2016},
month={feb},
archivePrefix={"arXiv"},
primaryClass={cs.CV}
}
We propose a deep feature-based face detector for mobile devices to detect user’s face acquired by the front facing camera. The proposed method is able to detect faces in images containing extreme pose and illumination variations as well as partial faces. The main challenge in developing deep feature-based algorithms for mobile devices is the constrained nature of the mobile platform and the non-availability of CUDA enabled GPUs on such devices. Our implementation takes into account the special nature of the images captured by the front-facing camera of mobile devices and exploits the GPUs present in mobile devices without CUDA-based frameorks, to meet these challenges.
February 18, 2016 by hgpu
