Name
Abstract | ||
|---|---|---|
The fully automatic face identification on the robot system usually meet challenging environments due to the motion blur, illumination change, and erroneous face normalization caused by imperfect face detection. In the face identification system, multiple images of same individual in gallery set can be used as useful sources for good identification. This paper introduces the face identification system using efficient comparison method between gallery and probe set using HOG features. The comparison method based on blocks makes possible that the system could effectively use the limited registration images in the classification step. The whole process is validated on ETRI-HRI Database acquired in uncontrolled environment. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ROMAN.2009.5326203 | RO-MAN 2009: THE 18TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2 |
Keywords | Field | DocType |
face detection,robots,feature extraction,face,data mining,robustness,face recognition,classification algorithms | Facial recognition system,Computer vision,Normalization (statistics),Pattern recognition,Computer science,Motion blur,Feature extraction,Robustness (computer science),Artificial intelligence,Face detection,Statistical classification,Robot | Conference |
Citations | PageRank | References |
1 | 0.35 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Woo-han Yun | 1 | 23 | 6.06 |
| Do Hyung Kim | 2 | 240 | 30.77 |
| Byoung-youl Song | 3 | 3 | 2.02 |
| Ho-Sub Yoon | 4 | 127 | 10.75 |