학술논문
Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
Document Type
Working Paper
Author
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
Source
Subject
Language
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.