60593
doi
10.5281/zenodo.60593
oai:zenodo.org:60593
EndoAbS Dataset
Veronica Penza
Politecnico di Milano
info:eu-repo/semantics/restrictedAccess
endoscopic stereo image dataset
3D reconstruction algorithm evaluation
ground truth
abdominal phantom model
<p>The <strong>EndoAbS Dataset</strong> (Endoscopic Abdominal Stereo Images Dataset) aims to provide to the computer assisted surgery community a dataset for the validation of 3D reconstruction algorithms.<br>
It is composed of:<br>
- 120 pair of endoscopic stereo images of abdominal organs (liver, kidneys, spleen);<br>
- corresponding ground truth in left-camera reference frame, generated using a laser scanner;<br>
- camera calibration parameters;</p>
<p>The images were captured under different conditions:<br>
- different light levels;<br>
- presence of smoke; <br>
- two phantom-endoscope distances (~5cm or ~10cm);<br>
<br>
If you use this dataset, please cite:<br>
<br>
Penza, V., Ciullo, A. S., Moccia, S., Mattos, L. S., & De Momi, E. (2018). EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms. <em>The International Journal of Medical Robotics and Computer Assisted Surgery</em>, e1926.</p>
<p>For further information, please contact veronica.penza@iit.it</p>
Zenodo
2016-08-22
info:eu-repo/semantics/other
640084
1579893980.365357
public
10.5281/zenodo.640084
isVersionOf
doi