Confidence-Based Large-Scale Dense Multi-View Stereo-Reference-Cited by-同舟云学术

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Confidence-Based Large-Scale Dense Multi-View Stereo

Published:2020 Issue: Volume:29 Page:7176-7191
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Li Zhaoxin^ORCID,Zuo Wangmeng^ORCID,Wang Zhaoqi,Zhang Lei^ORCID

Funder

National Natural Science Foundation of China

Hong Kong RGC GRF

Natural Science Foundation of Beijing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/8835130/09112642.pdf?arnumber=9112642

Cited by 30 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. TSAR-MVS: Textureless-aware segmentation and correlative refinement guided multi-view stereo;Pattern Recognition;2024-10

2. A Cascade Domain Clustering Algorithm for Multiview DSM Fusion From Urban Satellite Images;IEEE Transactions on Geoscience and Remote Sensing;2024

3. Multiview Stereo via Noise Suppression PatchMatch;IEEE Transactions on Instrumentation and Measurement;2024

4. EI-MVSNet: Epipolar-Guided Multi-View Stereo Network With Interval-Aware Label;IEEE Transactions on Image Processing;2024

5. Hybrid-MVS: Robust Multi-View Reconstruction With Hybrid Optimization of Visual and Depth Cues;IEEE Transactions on Circuits and Systems for Video Technology;2023-12

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