Name
Abstract | ||
|---|---|---|
This paper presents a fast approach for computing imagestixels from a sparse edge-based disparity map. The use ofedge-based disparity maps speeds up the computation of thestixels as only a few pixels must be processed compared toapproaches which use dense disparity maps. The proposedapproach produces as output the stixels in one of the viewsof the stereo-pair and a segmentation of the edge-pointsinto obstacle. Additionally the proposed approach allowsthe identification of partially occluded objects by allowingmore than one stixel per image column. The proposed ap-proach is fast to compute with no loss on accuracy. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/3DV.2016.80 | 2016 Fourth International Conference on 3D Vision (3DV) |
Keywords | Field | DocType |
Edge-disparity,stixel,obstacle detection,obstacle segmentation | Computer vision,Obstacle,Computer science,Segmentation,Pixel,Artificial intelligence,Computation | Conference |
ISSN | ISBN | Citations |
2378-3826 | 978-1-5090-5408-4 | 0 |
PageRank | References | Authors |
0.34 | 8 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dexmont Alejandro Peãa Carrillo | 1 | 0 | 0.34 |
| Alistair Sutherland | 2 | 101 | 14.36 |