Details
| Original language | English |
|---|---|
| Pages | 282-283 |
| Publication status | Published - 2023 |
| Event | Sensor and Measurement Science International - Nürnberg, Germany Duration: 8 May 2023 → 11 May 2023 Conference number: 2023 https://www.smsi-conference.com/ |
Conference
| Conference | Sensor and Measurement Science International |
|---|---|
| Abbreviated title | SMSI |
| Country/Territory | Germany |
| City | Nürnberg |
| Period | 8 May 2023 → 11 May 2023 |
| Internet address |
Abstract
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2023. 282-283 Poster session presented at Sensor and Measurement Science International, Nürnberg, Germany.
Research output: Contribution to conference › Poster › Research
}
TY - CONF
T1 - Non-Overlap Image Registration
AU - Siemens, Stefan
AU - Kästner, Markus
AU - Reithmeier, Eduard
N1 - Conference code: 2023
PY - 2023
Y1 - 2023
N2 - This work aims to predict the relative position of non-overlapping image pairs consisting of a moving and a fixed image. For this purpose, a modified VGG16 convolutional neural network is proposed. The network is trained on a large dataset with microtopographic measurement data of different materials and processing methods. The proposed method shows a high prediction accuracy on the test data and the potential for developing non-overlap registration algorithms.
AB - This work aims to predict the relative position of non-overlapping image pairs consisting of a moving and a fixed image. For this purpose, a modified VGG16 convolutional neural network is proposed. The network is trained on a large dataset with microtopographic measurement data of different materials and processing methods. The proposed method shows a high prediction accuracy on the test data and the potential for developing non-overlap registration algorithms.
U2 - 10.5162/smsi2023/p01
DO - 10.5162/smsi2023/p01
M3 - Poster
SP - 282
EP - 283
T2 - Sensor and Measurement Science International
Y2 - 8 May 2023 through 11 May 2023
ER -