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.
翻译:在中国深圳市MICCAI 2019年的Endovis挑战期间,组织了声波通信和重建内窥镜数据亚挑战,任务是利用7个培训数据集和2套测试用浮游动物尸体采集的结构性光数据进行密集深度估计,由直觉外科10个小组提供。 参加挑战日的有10个小组,本文载有在挑战结束后提交的另外3个方法,以及这些小组关于与数据集有关的问题的补充部分。