Name
Title | ||
|---|---|---|
Segmentation of Stereo-Camera Depth Image into Planar Regions based on Evolving Principal Component Clustering |
Abstract | ||
|---|---|---|
In this paper, we present planar segmentation of a depth image using evolving principal component clustering (EPCC). We exploit spatial point locality in ordered data streams to simplify the development of segmentation algorithms and speed up their operation. Experimental work has confirmed that modelling noise and incorporating it into the clustering process increases segmentation performance and... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MFI52462.2021.9591162 | 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI) |
Keywords | DocType | ISBN |
Image segmentation,Filtering,Laser noise,Prototypes,Clustering algorithms,Streaming media,Sensors | Conference | 978-1-6654-4521-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miloš Antić | 1 | 0 | 0.34 |
| Andrej Zdesar | 2 | 24 | 2.47 |
| Igor Skrjanc | 3 | 354 | 52.47 |