Self-Supervised monocular depth and ego-Motion estimation in endoscopy: Appearance flow to the rescue
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- 1 April 2022
- journal article
- research article
- Published by Elsevier in Medical Image Analysis
- Vol. 77, 102338
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Funding Information
- Department of Science and Technology of Shandong Province
- Science and Technology Department of Zhejiang Province (2020C01109)
- Key Technology Research and Development Program of Shandong Province (2021C03050)
- Key Technology Research and Development Program of Shandong Province (2019JZZY011101)
- Natural Science Foundation of Beijing Municipality (4202042)
- National Natural Science Foundation of China (61620106012)
- National Natural Science Foundation of China (62076016)
This publication has 20 references indexed in Scilit:
- Deep monocular 3D reconstruction for assisted navigation in bronchoscopyInternational Journal of Computer Assisted Radiology and Surgery, 2017
- The status of augmented reality in laparoscopic surgery as of 2016Medical Image Analysis, 2017
- Large-Scale Data for Multiple-View StereopsisInternational Journal of Computer Vision, 2016
- Learning Depth from Single Monocular Images Using Deep Convolutional Neural FieldsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2015
- ORB-SLAM: A Versatile and Accurate Monocular SLAM SystemIEEE Transactions on Robotics, 2015
- Make3D: Learning 3D Scene Structure from a Single Still ImageIEEE Transactions on Pattern Analysis and Machine Intelligence, 2008
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Image quality assessment: from error visibility to structural similarityIEEE Transactions on Image Processing, 2004
- Marching cubes: A high resolution 3D surface construction algorithmACM SIGGRAPH Computer Graphics, 1987
- Determining optical flowArtificial Intelligence, 1981