Name
Abstract | ||
|---|---|---|
In this paper we propose a new probabilistic approach to red eye detection and correction. It is based on stepwise refinement of a pixel-wise red eye probability map. Red eye detection starts with a fast non red eye region rejection step. A classification step then adjusts the probabilities attributed to the detected red eye candidates. The correction step finally applies a soft red eye correction based on the resulting probability map. The proposed approach is fast and allows achieving an excellent correction of strong red eyes while producing a still significant correction of weaker red eyes. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.944 | ICPR (3) |
Keywords | Field | DocType |
excellent correction,soft red eye correction,red eye candidate,strong red eye,pixel-wise red eye probability,fast non red eye,significant correction,red eye detection,correction step,probabilistic automatic red eye,weaker red eye,probability,stepwise refinement,image classification | Computer vision,Object detection,Pattern recognition,Computer science,Red eye,Artificial intelligence,Probabilistic logic,Contextual image classification | Conference |
ISSN | ISBN | Citations |
1051-4651 | 0-7695-2521-0 | 1 |
PageRank | References | Authors |
0.41 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jutta Willamowski | 1 | 52 | 12.58 |
| Gabriela Csurka | 2 | 972 | 85.08 |