Dataset Restricted Access
EndoAbS Dataset
Veronica Penza
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:
A.S. Ciullo, V. Penza, L. Mattos, E. De Momi
"Development of a surgical stereo endoscopic image dataset for
validating 3D stereo reconstruction algorithms." 6th Joint Workshop on
New Technologies for Computer/Robot Assisted Surgery. 2016.
We will soon upload the more detailed Journal paper!
For further information, please contact veronica.penza@polimi.it
Restricted Access
You may request access to the files in this upload, provided that you fulfil the conditions below. The decision whether to grant/deny access is solely under the responsibility of the record owner.
Only people interested in using this dataset for research development.
- "Dense soft tissue 3D reconstruction refined with super-pixel segmentation for
- "Development of a surgical stereo endoscopic image dataset for
- A.S. Ciullo, V. Penza, L. Mattos, E. De Momi (2016)
- and surgery, 11(2), 197-206.
- New Technologies for Computer/Robot Assisted Surgery.
- Penza, V., Ortiz, J., Mattos, L. S., Forgione, A., & De Momi, E. (2016).
- robotic abdominal surgery." International journal of computer assisted radiology
- validating 3D stereo reconstruction algorithms." 6th Joint Workshop on
- Publication date:
- August 22, 2016
- DOI:
-
- Keyword(s):
- endoscopic stereo image dataset 3D reconstruction algorithm evaluation ground truth abdominal phantom model