Name
Abstract | ||
|---|---|---|
The log-polar space variant representation, motivated by biological vision, has been widely studied in the literature. Its data reduction and invariance properties made it useful in many vision applications. However, due to its nature, it fails in preserving features in the periphery. In the current work, as an attempt to overcome this problem, we propose a novel space-variant representation. It is evaluated and proved to be better than the log-polar representation in preserving the peripheral information, crucial for on-board mobile vision applications. The evaluation is performed by comparing log-polar and the proposed representation once they are used for estimating dense optical flow. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23678-5_16 | CAIP (2) |
Keywords | Field | DocType |
vision application,biological vision,log-polar space variant representation,on-board mobile vision application,current work,novel space-variant representation,data reduction,dense optical flow,mobile platform vision application,proposed representation,log-polar representation,optical flow | Computer vision,Scale-space axioms,Invariant (physics),Computer science,Artificial intelligence,Mobile vision,Optical flow,Data reduction | Conference |
Volume | ISSN | Citations |
6855 | 0302-9743 | 1 |
PageRank | References | Authors |
0.36 | 14 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naveen Onkarappa | 1 | 21 | 4.11 |
| Angel Domingo Sappa | 2 | 565 | 33.54 |