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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Gao Guandong Liu Fei Duan Qing Wang Jing |
| Copyright Year | 2013 |
| Description | Author affiliation: Inf. & Manage. Dept., Central Inst. for Correctional Police, Baoding, China (Gao Guandong; Liu Fei; Duan Qing; Wang Jing) |
| Abstract | The faces in video sequence of monitoring system are the key information for crime detection, identity recognition and other fields. However, the face is usually blur for the far distance or low-resolution of camera. In this paper, a face super resolution algorithm based on patch reconstruction was presented to enlarge and make face image clear. The face images were segmented from the sequence by frame-difference method at first. Then, Patches were constructed in the middle frame of the sequence and matched with other frames. The matched patch that had minimum differences in one of other frames was used to reconstruct the high-resolution face image. Experimental results showed that the proposed algorithm provided clearer and sharper details compared to the existing algorithms. |
| Starting Page | 181 |
| Ending Page | 184 |
| File Size | 269500 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769551203 |
| DOI | 10.1109/IIH-MSP.2013.54 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-10-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Image resolution Video sequences super-resolution face image patch reconstruction video sequence Face Image reconstruction Signal resolution Monitoring |
| Content Type | Text |
| Resource Type | Article |
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