Name
Abstract | ||
|---|---|---|
Multi-channel imaging like RGB is common today, however, a custom configuration of other modalities, such as wavelengths or polarization, is expensive and often unavailable. We propose a novel configurable multi-modal imaging system that solves this problem by using off-the-shelf components and proper fusion algorithms. The paper shows the application of polarization imaging for machine vision inspection. Sequential images acquired with different cameras and polarization angles are first registered and then fused together. With standard components, we demonstrate a superior image quality to existing specialized cameras while being significantly cheaper, available, and easily configurable. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/SiPS.2017.8110019 | 2017 IEEE International Workshop on Signal Processing Systems (SiPS) |
Keywords | Field | DocType |
multichannel imaging,off-the-shelf components,machine vision inspection,polarization angles,standard components,sequential polarization imaging,multiview fusion,cameras,configurable multimodal imaging system,fusion algorithms,image quality | Computer vision,Machine vision,Computer science,Fusion,Polarization (waves),Image quality,Real-time computing,Feature extraction,Artificial intelligence,RGB color model,Image registration,Polarization imaging | Conference |
ISBN | Citations | PageRank |
978-1-5386-0447-2 | 0 | 0.34 |
References | Authors | |
11 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thomas Richter | 1 | 40 | 9.67 |
| Nils Genser | 2 | 0 | 1.01 |
| Jürgen Seiler | 3 | 145 | 28.28 |
| André Kaup | 4 | 861 | 127.24 |
| Christopher Saloman | 5 | 0 | 0.34 |
| Koray Kasnakli | 6 | 0 | 0.68 |
| Arne Nowak | 7 | 0 | 0.34 |
| Michael Schöberl | 8 | 40 | 7.46 |