Automated Author ProfileLoeliger, Teddy
ZHAW Zurich University of Applied Sciences0009-0003-4131-6183
Loeliger, Teddy
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.9 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains depth maps recorded by an ESPROS epc635 Time-of-Flight camera and RGB images from a Raspberry Pi camera module V2, for use in the fusion of these sensors to increase the resolution of the ToF camera.The dataset contains three scenes, one of a paper dodecahedron, a wooden grid with holes of various sizes, and a set of wooden bars with different distances between them. All scenes have a black background with low reflectivity at the 3D ToF camera’s illumination wavelength to reduce multi-path interference. An HDR image is created by combining two 3D ToF depth maps with different integration times based on the recorded amplitude of each pixel. The depth map is then transformed to the perspective of the RGB camera and the resulting holes are filled with the mean of their neighboring pixels.The content of the included files are:Recorded HDR ToF camera depth maps (160x60), containing the depth values in millimeters, stored as 16-bit PNG files. Recorded RGB images (2560x960)
Authors
- Waelti, Yannick ;
- Ludwig, Matthias ;
- Loeliger, Teddy ;
- Rosset, Josquin
This dataset contains depth maps recorded by an ESPROS epc635 Time-of-Flight camera and RGB images from a Raspberry Pi camera module V2, for use in the fusion of these sensors to increase the resolution of the ToF camera.The dataset contains three scenes, one of a paper dodecahedron, a wooden grid with holes of various sizes, and a set of wooden bars with different distances between them. All scenes have a black background with low reflectivity at the 3D ToF camera’s illumination wavelength to reduce multi-path interference. An HDR image is created by combining two 3D ToF depth maps with different integration times based on the recorded amplitude of each pixel. The depth map is then transformed to the perspective of the RGB camera and the resulting holes are filled with the mean of their neighboring pixels.The content of the included files are:Recorded HDR ToF camera depth maps (160x60), containing the depth values in millimeters, stored as 16-bit PNG files. Recorded RGB images (2560x960)
Authors
- Waelti, Yannick ;
- Ludwig, Matthias ;
- Loeliger, Teddy ;
- Rosset, Josquin