Name
Abstract | ||
|---|---|---|
•Behavior of Orthogonal Polynomials under rotation is investigated.•Only Hermite-like polynomials are transformed similarly as the monomials.•Hermite-like moments can generate rotation invariants simpler than other OG moments.•Exact proofs of all assertions are presented, no heuristics.•Useful for rotation-invariant object recognition. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patrec.2017.12.013 | Pattern Recognition Letters |
Keywords | Field | DocType |
Rotation invariants,Orthogonal polynomials,Recurrent relation,Hermite-like polynomials,Hermite moments | Orthogonal polynomials,Pattern recognition,Polynomial,Separable space,Pure mathematics,Invariant (mathematics),Artificial intelligence,Monomial,Mathematics,Cognitive neuroscience of visual object recognition | Journal |
Volume | ISSN | Citations |
102 | 0167-8655 | 0 |
PageRank | References | Authors |
0.34 | 19 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Yang | 1 | 0 | 0.68 |
| Jan Flusser | 2 | 3067 | 215.61 |
| Jaroslav Kautsky | 3 | 108 | 20.75 |