Deep feature-based face detection on mobile devices

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 f...

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Bibliographic Details
Published in2016 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) pp. 1 - 8
Main Authors Sarkar, Sayantan, Patel, Vishal M., Chellappa, Rama
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.02.2016
Subjects
Detectors
Face
Face detection
Feature extraction
Mobile communication
Mobile handsets
Training
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Summary: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 frameworks, to meet these challenges.
DOI:10.1109/ISBA.2016.7477230