A Benchmark for 3D Reconstruction from Aerial Imagery in an Urban Environment

Author:

Ruano Susana1,Smolic Aljosa1

Affiliation:

1. V-SENSE, Trinity College Dublin, Ireland, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 5 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. Building Better Models: Benchmarking Feature Extraction and Matching for Structure from Motion at Construction Sites;Remote Sensing;2024-08-14

2. The Potential of Neural Radiance Fields and 3D Gaussian Splatting for 3D Reconstruction from Aerial Imagery;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2024-06-10

3. A Study of Aerial Image-Based 3D Reconstructions in a Metropolitan Area;Communications in Computer and Information Science;2023

4. End-to-End Latency Optimization of Multi-view 3D Reconstruction for Disaster Response;2022 10th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud);2022-08

5. AERIAL TRIANGULATION WITH LEARNING-BASED TIE POINTS;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2022-05-30

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