Name
Abstract | ||
|---|---|---|
We propose a template-matching method in which a parametric template space is constructed from a given set of template images then quickly matched to a reference image. In this method geometrical changes in an image object due to translation, rotation or scaling, and non-geometrical changes such as illumination variations or individual variation between objects are represented by template images in the parametric template space. The method also provides a subpixel matching scheme that yields a high-precision estimation of the object position. Experiments using real images have confirmed the effectiveness of the method |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/CVPR.2000.855877 | Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference |
Keywords | Field | DocType |
image matching,geometrical changes,illumination variations,parametric template method,parametric template space,robust matching,rotation,scaling,template images,template-matching,translation | Template matching,Computer vision,Template method pattern,Pattern recognition,Computer science,Reference image,Robustness (computer science),Parametric statistics,Artificial intelligence,Subpixel rendering,Real image,Scaling | Conference |
Volume | Issue | ISSN |
1 | 1 | 1063-6919 |
ISBN | Citations | PageRank |
0-7695-0662-3 | 13 | 0.80 |
References | Authors | |
5 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Koichi Tanaka | 1 | 13 | 0.80 |
| Mustuo Sano | 2 | 13 | 0.80 |
| Shuichi Ohara | 3 | 21 | 2.51 |
| Masashi Okudaira | 4 | 18 | 2.20 |