Name
Abstract | ||
|---|---|---|
We propose a template matching method for the detection of 2D image objects that are characterized by orientation patterns. Our method is based on data representations via orientation scores, which are functions on the space of positions and orientations, and which are obtained via a wavelet-type transform. This new representation allows us to detect orientation patterns in an intuitive and direct... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPAMI.2017.2652452 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | Field | DocType |
Smoothing methods,Retina,Linear regression,Pattern matching,Splines (mathematics),Wavelet transforms | Template matching,Lie group,Computer vision,Pattern recognition,Computer science,Smoothing spline,Artificial intelligence,Template,Smoothness,Prior probability,Pattern matching,Wavelet transform | Journal |
Volume | Issue | ISSN |
40 | 2 | 0162-8828 |
Citations | PageRank | References |
4 | 0.41 | 39 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Erik J. Bekkers | 1 | 119 | 11.82 |
| Marco Loog | 2 | 1796 | 154.31 |
| Bart M. Ter Haar Romeny | 3 | 1444 | 227.69 |
| Remco Duits | 4 | 380 | 33.83 |