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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jia Hao Morishita, Y. Hosoi, T. Sakurai, K. Imaoka, H. Imaizumi, T. Irisawa, H. |
| Copyright Year | 2013 |
| Description | Author affiliation: Inf. & Media Process. Labs., NEC Corp., Kawasaki, Japan (Jia Hao; Morishita, Y.; Hosoi, T.; Sakurai, K.; Imaoka, H.) || Embedded Syst. Div., NEC Soft Ltd., Kashiwazaki, Japan (Imaizumi, T.; Irisawa, H.) |
| Abstract | Most of highly accurate face recognition methods are not suitable for real-time requirement in smart devices which have computational limitations. In this demonstration, we exhibit a face recognition application, in which only essential facial features from images are used for personal identification. In the algorithm used in this application, the face feature size is dramatically compressed into 512 bytes per face in spite of high recognition rate, a false rejection rate of 1.6% at false acceptance rate of 0.1% on identification photos. Consequently, computational cost for face matching is reduced dramatically and the system achieves 1.16 million times matching/second in dual-core 1.5GHz ARM processor. The demonstration on the smart device shows a high recognition performance and the feasibility for diverse applications. |
| Starting Page | 736 |
| Ending Page | 737 |
| File Size | 329676 |
| Page Count | 2 |
| File Format | |
| ISBN | 9781479921904 |
| DOI | 10.1109/ACPR.2013.189 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-11-05 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Face recognition Compact face features Lighting Feature extraction Computational efficiency Face Smart devices Facial features |
| Content Type | Text |
| Resource Type | Article |
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