Post‐filtering with surface orientation constraints for stereo dense image matching-Reference-Cited by-同舟云学术

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Post‐filtering with surface orientation constraints for stereo dense image matching

Published:2020-09 Issue:171 Volume:35 Page:375-401
ISSN:0031-868X
Container-title:The Photogrammetric Record
language:en
Short-container-title:Photogram Rec

Author:

Huang Xu¹,Qin Rongjun¹²³

Affiliation:

1. Department of Civil Environmental and Geodetic EngineeringThe Ohio State University Columbus OH USA

2. Department of Electrical and Computer Engineering The Ohio State University Columbus OH USA

3. Translational Data Analytics InstituteThe Ohio State University Columbus OH USA

Funder

Office of Naval Research

Publisher

Wiley

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/phor.12333

Reference38 articles.

1. SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

2. Mean shift: a robust approach toward feature space analysis

3. A low‐cost open‐source workflow to generate georeferenced 3D SfM photogrammetric models of rocky outcrops

4. Guided Image Filtering

5. Stereo Processing by Semiglobal Matching and Mutual Information

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1. Unit-level LoD2 Building Reconstruction from Satellite-derived Digital Surface Model and Orthophoto;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-06-10

2. Digital surface model generation from high‐resolution satellite stereos based on hybrid feature fusion network;The Photogrammetric Record;2024-01-09

3. Adaptive region aggregation for multi‐view stereo matching using deformable convolutional networks;The Photogrammetric Record;2023-08-21

4. LiDAR-guided stereo matching with a spatial consistency constraint;ISPRS Journal of Photogrammetry and Remote Sensing;2022-01

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