Name
Abstract | ||
|---|---|---|
The authors describe two conditions for binocular fusion, and propose a method of adaptively detecting disparity in each portion of images. Since this method automatically selects the minimum size of neighboring region in which reliable disparities can be detected, fast computation of disparities is realizable. Furthermore, they propose a more powerful method to reduce ambiguity of disparity than the neural network approach, and show that it leads to fast and reliable computation of ambiguous disparity. It is shown with several experimental results that the algorithm with these features is effective especially for robot vision |
Year | DOI | Venue |
|---|---|---|
1990 | 10.1109/IROS.1990.262483 | Ibaraki |
Keywords | Field | DocType |
adaptive systems,computer vision,pattern recognition,robots,adaptive binocular vision system,binocular fusion,disparity detection,pattern recognition,robot vision | Computer vision,Binocular vision,Robot vision,Machine vision,Computer science,Adaptive system,Artificial intelligence,Artificial neural network,Robot,Ambiguity,Computation | Conference |
Citations | PageRank | References |
1 | 0.39 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Noriaki Maru | 1 | 20 | 6.84 |
| Fumio Miyazaki | 2 | 1249 | 354.11 |
| Suguru Arimoto | 3 | 2073 | 442.40 |