Monocular Depth Estimation for Glass Walls With Context: A New Dataset and Method-Reference-Cited by-同舟云学术

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Monocular Depth Estimation for Glass Walls With Context: A New Dataset and Method

Published:2023-12 Issue:12 Volume:45 Page:15081-15097
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Liang Yuan¹^ORCID,Deng Bailin²^ORCID,Liu Wenxi³^ORCID,Qin Jing⁴^ORCID,He Shengfeng⁵^ORCID

Affiliation:

1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, China

2. School of Computer Science and Informatics, Cardiff University, Cardiff, U.K.

3. College of Computer and Data Science, Fuzhou University, Fuzhou, China

4. School of Nursing, Hong Kong Polytechnic University, Hung Hom, Hong Kong

5. School of Computing and Information Systems, Singapore Management University, Singapore

Funder

National Natural Science Foundation of China

Guangdong Natural Science Funds for Distinguished Young Scholar

Singapore Ministry of Education Academic Research Fund Tier 1

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/10308548/10230851.pdf?arnumber=10230851

Reference65 articles.

1. Don’t Hit Me! Glass Detection in Real-World Scenes

2. Vision Transformers for Dense Prediction

3. RGB-D Local Implicit Function for Depth Completion of Transparent Objects

4. Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets

5. Depth map prediction from a single image using a multi-scale deep network;eigen;Proc Int Conf Neural Inf Process,2014

Cited by 2 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. NRGlassNet: Glass surface detection from visible and near-infrared image pairs;Knowledge-Based Systems;2024-06

2. Depth-Based Semantic Segmentation and 3d Reconstruction for Automatic Measurement of Accessible Pathways;2024

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