Name
Title | ||
|---|---|---|
Enhancing image registration performance by incorporating distribution and spatial distance of local descriptors. |
Abstract | ||
|---|---|---|
•Analyzing the difference between ℓp-norm distance and mp-dissimilarity.•Formalizing how mp-dissimilarity can be generally used for matching local descriptors.•Proposing three new matching strategies by incorporating ℓp-norm distance and mp-dissimilarity. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.patrec.2018.01.008 | Pattern Recognition Letters |
Keywords | Field | DocType |
Euclidean distance,mp-dissimilarity,Matching,Local image descriptors,Similarity measure | Computer vision,Data dependency,Similarity measure,Pattern recognition,Artificial intelligence,Visual descriptors,Image registration,Mathematics | Journal |
Volume | ISSN | Citations |
103 | 0167-8655 | 0 |
PageRank | References | Authors |
0.34 | 21 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guohua Lv | 1 | 21 | 3.86 |
| Shyh Wei Teng | 2 | 151 | 21.02 |
| Guojun Lu | 3 | 603 | 31.33 |