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., & 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

{"references": ["A.S. Ciullo, V. Penza, L. Mattos, E. De Momi (2016)", "\"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.", "Penza, V., Ortiz, J., Mattos, L. S., Forgione, A., & De Momi, E. (2016).", "\"Dense soft tissue 3D reconstruction refined with super-pixel segmentation for", "robotic abdominal surgery.\" International journal of computer assisted radiology", "and surgery, 11(2), 197-206."]}