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Long Distance Face Recognition System using the Automatic Face Image Creation by Distance
| Content Provider | Semantic Scholar |
|---|---|
| Author | Moon, Hae Min Pan, Sung Bum |
| Copyright Year | 2014 |
| Abstract | This paper suggests an LDA-based long distance face recognition algorithm for intelligent surveillance system. The existing face recognition algorithm using single distance face image as training images caused a problem that face recognition rate is decreased with increasing distance. The face recognition algorithm using face images by actual distance as training images showed good performance. However, this also causes user inconvenience as it requires the user to move one to five meters in person to acquire face images for initial user registration. In this paper, proposed method is used for training images by using single distance face image to automatically create face images by various distances. The test result showed that the proposed face recognition technique generated better performance by average 16.3% in short distance and 18.0% in long distance than the technique using the existing single distance face image as training. When it was compared with the technique that used face images by distance as training, the performance fell 4.3% on average at a close distance and remained the same at a long distance. |
| Starting Page | 137 |
| Ending Page | 145 |
| Page Count | 9 |
| File Format | PDF HTM / HTML |
| DOI | 10.5573/ieie.2014.51.11.137 |
| Volume Number | 51 |
| Alternate Webpage(s) | http://ocean.kisti.re.kr/downfile/volume/ieek/DHJJQ3/2014/v51n11/DHJJQ3_2014_v51n11_137.pdf |
| Alternate Webpage(s) | https://doi.org/10.5573/ieie.2014.51.11.137 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
