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EndoAbS Dataset

Veronica Penza


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  <dc:creator>Veronica Penza</dc:creator>
  <dc:date>2016-08-22</dc:date>
  <dc:description>The EndoAbS Dataset (Endoscopic Abdominal Stereo Images Dataset) aims to provide to the computer assisted surgery community a dataset for the validation of 3D reconstruction algorithms.
It is composed of:
- 120 pair of endoscopic stereo images of abdominal organs (liver, kidneys, spleen);
- corresponding ground truth in left-camera reference frame, generated using a laser scanner;
- camera calibration parameters;

The images were captured under different conditions:
- different light levels;
- presence of smoke;  
- two phantom-endoscope distances (~5cm or ~10cm);
 
If you use this dataset, please cite:
 
 Penza, V., Ciullo, A. S., Moccia, S., Mattos, L. S., &amp; De Momi, E. (2018). EndoAbS dataset: Endoscopic abdominal stereo image dataset for benchmarking 3D stereo reconstruction algorithms. The International Journal of Medical Robotics and Computer Assisted Surgery, e1926.

For further information, please contact veronica.penza@iit.it</dc:description>
  <dc:identifier>https://zenodo.org/record/60593</dc:identifier>
  <dc:identifier>10.5281/zenodo.60593</dc:identifier>
  <dc:identifier>oai:zenodo.org:60593</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.640084</dc:relation>
  <dc:rights>info:eu-repo/semantics/restrictedAccess</dc:rights>
  <dc:subject>endoscopic stereo image dataset</dc:subject>
  <dc:subject>3D reconstruction algorithm evaluation</dc:subject>
  <dc:subject>ground truth</dc:subject>
  <dc:subject>abdominal phantom model</dc:subject>
  <dc:title>EndoAbS Dataset</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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