Name
Abstract | ||
|---|---|---|
Tasks such as distinguishing or identifying individual objects of interest require the production of dense local clouds at the scale of these individual objects of interest. Due to the physical and dynamic properties of an underwater environment, the usual dense matching algorithms must be rethought in order to be adaptive. These properties also imply that the scene must be observed at close range. Classic robotized acquisition systems are oversized for local studies in shallow water while the systematic acquisition of data is not guaranteed with divers. We address these two major issues through a multidisciplinary approach. To efficiently acquire on-demand stereoscopic pairs using simple logistics in small areas of shallow water, we devised an agile light-weight dedicated system which is easy to reproduce. To densely match two views in a reliable way, we devised a reconstruction algorithm that automatically accounts for the dynamics, variability and light absorption of the underwater environment. Field experiments in the Mediterranean Sea were used to assess the results. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/s16050712 | SENSORS |
Keywords | Field | DocType |
underwater 3D reconstruction,dense point clouds,low cost underwater micro-robot,stereoscopic rig | Waves and shallow water,Computer vision,Seabed,Multidisciplinary approach,Stereoscopy,Agile software development,Reconstruction algorithm,Artificial intelligence,Engineering,3D reconstruction,Underwater | Journal |
Volume | Issue | ISSN |
16 | 5.0 | 1424-8220 |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Loica Avanthey | 1 | 0 | 0.68 |
| Laurent Beaudoin | 2 | 5 | 3.66 |
| Antoine Gademer | 3 | 2 | 1.90 |
| Michel Roux | 4 | 0 | 0.34 |