A 3D Reconstruction of Binocular Endoscope Based on Self-supervised Dilated Convolution-Reference-Cited by-同舟云学术

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A 3D Reconstruction of Binocular Endoscope Based on Self-supervised Dilated Convolution

Published:2022-08 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT)
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Author:

Zhang Guo¹,Sun Weiwei²,Wang Junchao³

Affiliation:

1. School of Communication and Information Engineering Chongqing University of Posts and Telecommunication Chongqing,China

2. School of Optoelectronic Engineering Chongqing University of Posts and Telecommunication Chongqing,China

3. School of Microelectronics and Communication Engineering Chongqing University Chongqing,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9951325/9951447/09951501.pdf?arnumber=9951501

Reference13 articles.

1. Multimodal Self-supervised Learning for Medical Image Analysis

2. Efficient deep learning for stereo matching with larger image patches

3. Super-Resolution for Monocular Depth Estimation With Multi-Scale Sub-Pixel Convolutions and a Smoothness Constraint

4. ORBSLAM-based endoscope tracking and 3D reconstruction;mahmoud;International Workshop on Computer-Assisted and Robotic Endoscopy,2016

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