Name
Title | ||
|---|---|---|
From Feature Detection in Truncated Signed Distance Fields to Sparse Stable Scene Graphs. |
Abstract | ||
|---|---|---|
With the increased availability of GPUs and multicore CPUs, volumetric map representations are an increasingly viable option for robotic applications. A particularly important representation is the truncated signed distance field (TSDF) that is at the core of recent advances in dense 3-D mapping. However, there is relatively little literature exploring the characteristics of 3-D feature detection ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LRA.2016.2523555 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Feature extraction,Three-dimensional displays,Kernel,Detectors,Stability analysis,Algorithm design and analysis,Image reconstruction | Computer vision,Graph,Feature detection,Feature detection (computer vision),Signed distance function,Computer science,Feature (computer vision),Theoretical computer science,Artificial intelligence,Multi-core processor | Journal |
Volume | Issue | ISSN |
1 | 2 | 2377-3766 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel R. Canelhas | 1 | 23 | 2.55 |
| Todor Stoyanov | 2 | 260 | 26.07 |
| Achim J. Lilienthal | 3 | 1468 | 113.18 |