Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
This challenge addresses the problem of accurate 3D reconstruction for surgical robotics, providing a benchmark for researchers in medical imaging and computer vision.
This paper describes a sub-challenge on dense depth estimation from structured light endoscopic data, using 7 training and 2 test datasets from porcine cadavers. 10 teams participated, with 3 additional methods submitted post-challenge.
The stereo correspondence and reconstruction of endoscopic data sub-challenge was organized during the Endovis challenge at MICCAI 2019 in Shenzhen, China. The task was to perform dense depth estimation using 7 training datasets and 2 test sets of structured light data captured using porcine cadavers. These were provided by a team at Intuitive Surgical. 10 teams participated in the challenge day. This paper contains 3 additional methods which were submitted after the challenge finished as well as a supplemental section from these teams on issues they found with the dataset.