Deep Depth Completion of Low-cost Sensor Indoor RGB-D using Euclidean Distance-based Weighted Loss and Edge-aware Refinement-Reference-Cited by-同舟云学术

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Deep Depth Completion of Low-cost Sensor Indoor RGB-D using Euclidean Distance-based Weighted Loss and Edge-aware Refinement

Published:2022 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

Castro Augusto¹,Grassi Jr. Valdir¹,Ponti Moacir²

Affiliation:

1. Department of Electrical and Computer Engineering, São Carlos School of Engineering, University of São Paulo, São Carlos, Brazil, --- Select a Country ---

2. Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Enhancing Visual Odometry with Estimated Scene Depth: Leveraging RGB-D Data with Deep Learning;Electronics;2024-07-13

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