Name
Abstract | ||
|---|---|---|
Recent research activity on stereo matching has proved the efficacy of local approaches based on ad- vanced cost aggregation strategies in accurately re- trieving 3D information. However, accuracy is typi- cally achieved at expense of computational efficiency, with best methods being far from meeting real-time re- quirements. On the other side, basic real-time local al- gorithms relying on a rectangular correlation window suffer from significant ambiguity along depth borders and untextured areas. This work proposes a novel lo- cal approach aimed at maximizing the speed-accuracy trade-off by means of an efficient segmentation-based cost aggregation strategy. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ICPR.2008.4761024 | Tampa, FL |
Keywords | Field | DocType |
correlation methods,image matching,image segmentation,stereo image processing,3D information,efficient segmentation-based cost aggregation strategy,rectangular correlation window,speed-accuracy trade-off,stereo matching | Stereo matching,Computer vision,Algorithm design,Computer science,Image matching,Segmentation,Image segmentation,Cost aggregation,Artificial intelligence,Ambiguity | Conference |
ISSN | ISBN | Citations |
1051-4651 E-ISBN : 978-1-4244-2175-6 | 978-1-4244-2175-6 | 31 |
PageRank | References | Authors |
1.39 | 20 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Federico Tombari | 1 | 1802 | 98.90 |
| Stefano Mattoccia | 2 | 727 | 52.65 |
| Luigi Di Stefano | 3 | 197 | 11.89 |
| Elisa Addimanda | 4 | 31 | 1.39 |