Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
Max Allan, A. Jonathan McLeod, Cong Cong Wang, Jean-Claude Rosenthal, Zhenglei Hu, Niklas Gard, Peter Eisert, Ke Fu, Trevor Zeffiro, Wenyao Xia, Zhanshi Zhu, Huoling Luo, Fucang Jia, Xiran Zhang, Xiaohong Li, Lalith Sharan, Kurmann, Tom, Sebastian Schmid, Raphael Sznitman, Dimitrios Psychogyios · arXiv (Cornell University) · 2021
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.