Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
M. Allan
J. Mcleod
Congcong Wang
Jean-Claude Rosenthal
Zheng Hu
Niklas Gard
Peter Eisert
K. Fu
Trevor Zeffiro
Wenyao Xia
Zhanshi Zhu
Huoling Luo
F. Jia
Xiran Zhang
Xiaohong Li
Lalith Sharan
T. Kurmann
S. Schmid
Raphael Sznitman
Dimitris Psychogyios
M. Azizian
Danail Stoyanov
Lena Maier-Hein
Stefanie Speidel

Abstract
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.
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