Name
Abstract | ||
|---|---|---|
A recognition algorithm for a type of coded target widely used in photogrammetry is presented in this paper. An efficient feature vector is first proposed to describe the targets, then mathematical morphological operations are used for clustering to location the the targets in the image. Finally, by ellipse fitting, each coded target in the image is recognized. Experimental results in both the better and worse case demonstrate the effectiveness of our approach. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/CADCG.2007.4407929 | PROCEEDINGS OF 2007 10TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN AND COMPUTER GRAPHICS |
Keywords | DocType | Volume |
mathematical morphology,curve fitting,object recognition,feature vector | Conference | null |
Issue | ISSN | Citations |
null | null | 3 |
PageRank | References | Authors |
0.60 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zuoping Chen | 1 | 3 | 0.60 |
| Zhenglin Ye | 2 | 17 | 2.33 |
| D. T. W. Chan | 3 | 3 | 0.60 |
| Guohua Peng | 4 | 14 | 6.90 |