Stereo Correspondence and Reconstruction of Endoscopic Data Challenge

التفاصيل البيبلوغرافية
العنوان: Stereo Correspondence and Reconstruction of Endoscopic Data Challenge
المؤلفون: 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
سنة النشر: 2021
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Computer Vision and Pattern Recognition
الوصف: 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.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2101.01133
رقم الأكسشن: edsarx.2101.01133
قاعدة البيانات: arXiv