Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells-Reference-Cited by-同舟云学术

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Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
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Author:

Ye Xinyi¹,Zhao Weiyue¹,Liu Tianqi¹,Huang Zihao¹,Cao Zhiguo¹,Li Xin²

Affiliation:

1. Huazhong University of Science and Technology,Key Laboratory of Image Processing and Intelligent Control, Ministry of Education; School of Artificial Intelligence and Automation,Wuhan,China,430074

2. University of Albany,Department of Computer Science,Albany,NY,12222

Funder

National Natural Science Foundation of China

Huawei Technologies

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377006.pdf?arnumber=10377006

Reference44 articles.

1. Large-Scale Data for Multiple-View Stereopsis

2. Building Rome in a day

3. Using Multiple Hypotheses to Improve Depth-Maps for Multi-View Stereo

4. Mvsformer: Multi-view stereo by learning robust image features and temperature-based depth;Cao;Transactions of Machine Learning Research,2023

5. Pyramid Stereo Matching Network

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. Learning deformable hypothesis sampling for patchmatch multi-view stereo in the wild;Information Fusion;2025-01

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

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