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 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.

• Publication year

  2016

• Venue

  International Conference on Identity, Security and Behavior Analysis

• Publication date

  2016-02-01

• Fields of study

  Computer Science, Engineering

• Identifiers
  DOI 10.1109/ISBA.2016.7477230arXiv 1602.04868
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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