Name
Abstract | ||
|---|---|---|
Many applications rely on 3D information as a depth map. Stereo Matching algorithms reconstruct a depth map from a pair of stereoscopic images. Stereo Matching algorithms are computationally intensive, that is why implementing efficient stereo matching algorithms on embedded systems is very challenging for real-time applications. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.sysarc.2017.09.002 | Journal of Systems Architecture |
Keywords | Field | DocType |
Embedded vision,DSP,Stereo matching | Stereo matching,Computer vision,Stereo cameras,Digital signal processing,Stereoscopy,Computer science,Algorithm,Ground truth,Artificial intelligence,Execution time,Depth map,Computer stereo vision | Journal |
Volume | Issue | ISSN |
80 | C | 1383-7621 |
Citations | PageRank | References |
1 | 0.35 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Judicael Menant | 1 | 6 | 1.17 |
| Guillaume Gautier | 2 | 1 | 1.71 |
| Muriel Pressigout | 3 | 291 | 15.52 |
| L. Morin | 4 | 137 | 35.63 |
| Jean-François Nezan | 5 | 144 | 18.39 |