A GPU-accelerated face annotation system for smartphones

Authors:
Yi-Chu Wang;Sydney Pang;Kwang-Ting Cheng
Affiliations:
University of California, Santa Barbara, Santa Barbara, CA, USA;University of California, Santa Barbara, Santa Barbara, CA, USA;University of California, Santa Barbara, Santa Barbara, CA, USA
Venue:
Proceedings of the international conference on Multimedia
Year:
2010

Citing 3
Cited 0

The FFT on a GPU

Proceedings of the ACM SIGGRAPH/EUROGRAPHICS conference on Graphics hardware
A real-time, embedded face-annotation system

MM '08 Proceedings of the 16th ACM international conference on Multimedia
Hierarchical ensemble of global and local classifiers for face recognition

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Face annotation makes it easy to share and manage digital photos and videos. While state-of-the-art face recognition algorithms can achieve high accuracy to support automatic face annotation, their implementations on an embedded platform cannot achieve real-time performance due to the demanding computational requirement. However, the availability of an embedded GPU in most smartphones offers the opportunity to use it as an accelerator for the face recognition task. In this demonstration, we show that, with acceleration achieved by the embedded low-power GPU, a real-time face annotation system could be realized on an existing off-the-shelf smartphone.