arXiv (Cornell University) · 2021 · 24 citations · 15 references
ComputingComputer ScienceSurgeryBiomedical ImagingComputer VisionMachine Vision3D ReconstructionDepth EstimationEndoscopic SurgeryGastrointestinal EndoscopyScene ReconstructionStereo VisionDense Depth EstimationPorcine ModelsStereo CorrespondenceStereo Correspondence AlgorithmsStructured LightStructured Light StereoThree-dimensional Endoscopic ReconstructionThree-dimensional Endoscopy
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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