Name
Abstract | ||
|---|---|---|
The present paper proposes a novel stereo algorithm utilizing multi-sets of reaction–diffusion equations. The problem of detecting a stereo disparity map becomes the segmentation problem, in which the uniqueness assumption and the continuity assumption on disparity distribution are taken into account. A set of reaction–diffusion equations realizes the continuity assumption, while a mutual-inhibition mechanism among the multi-sets realizes the uniqueness one. In addition, each set of equations has a self-inhibition mechanism, which is necessary for the reaction-diffusion equations applied to stereo disparity detection. Performance of the proposed algorithm is evaluated for well-known test stereo images. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s00138-007-0117-8 | Mach. Vis. Appl. |
Keywords | Field | DocType |
Stereo vision,Reaction–diffusion,Self-inhibition,Cooperative algorithm,Partial differential equation | Computer vision,Uniqueness,Segmentation,Computer science,Stereopsis,Algorithm,Artificial intelligence,Reaction–diffusion system,Partial differential equation | Journal |
Volume | Issue | ISSN |
20 | 3 | 0932-8092 |
Citations | PageRank | References |
5 | 0.71 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Atsushi Nomura | 1 | 41 | 7.61 |
| Makoto Ichikawa | 2 | 6 | 1.45 |
| Hidetoshi Miike | 3 | 68 | 12.05 |