Name
Abstract | ||
|---|---|---|
This paper introduces a novel feature extraction algorithm called FEUDOR. The features extracted by this method are octagonal homogeneous regions that have different mean square difference compared to their surrounding area. By using integral images we have implemented this algorithm effi- ciently. We have shown that the repeatability score of FEUDOR under vari- ous image transformations is comparable and in some cases better than other existing algorithms. |
Year | Venue | Keywords |
|---|---|---|
2008 | BMVC | feature extraction |
Field | DocType | Citations |
Computer vision,Feature extraction algorithm,Pattern recognition,Homogeneous,Computer science,Feature extraction,Artificial intelligence,Mean square difference,Repeatability | Conference | 3 |
PageRank | References | Authors |
0.44 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ario Emaminejad | 1 | 3 | 0.44 |
| Mike Brookes | 2 | 128 | 8.18 |