Stereo Correspondence and Reconstruction of Endoscopic Data 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 cadaver...

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Main Authors Allan, Max, Mcleod, Jonathan, Wang, Congcong, Rosenthal, Jean Claude, Hu, Zhenglei, Gard, Niklas, Eisert, Peter, Fu, Ke Xue, Zeffiro, Trevor, Xia, Wenyao, Zhu, Zhanshi, Luo, Huoling, Jia, Fucang, Zhang, Xiran, Li, Xiaohong, Sharan, Lalith, Kurmann, Tom, Schmid, Sebastian, Sznitman, Raphael, Psychogyios, Dimitris, Azizian, Mahdi, Stoyanov, Danail, Maier-Hein, Lena, Speidel, Stefanie
Format Journal Article
LanguageEnglish
Published 04.01.2021
Subjects
Computer Science - Computer Vision and Pattern Recognition
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Summary: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.
DOI:10.48550/arxiv.2101.01133