To achieve our model fine-tuning goal, we generated a benchmark with sufficient photogrammetric geometry information, learning visual overlapping image pairs ( ...

Dec 21, 2022 · Efficient and accurate identification of visual overlapping image pairs is an ongoing challenge for large-scale Structure from Motion (SfM).

Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information. https://doi.org/10.1016/j.jag.2022.103162.

This is the implementation of paper "Learning overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information" ...

Dive into the research topics of 'Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information'. Together they ...

Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information. Q Hou, R Xia, J Zhang, Y Feng, Z Zhan, X Wang.

Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information Efficient and accurate identification of...

Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information ... A co-learning method to utilize optical images ...

Learning visual overlapping image pairs for SfM via CNN fine-tuning with photogrammetric geometry information · Article · Full-text available. February 2023.

Abstract. Efficient determination of overlapping image pairs is very crucial for large scale SfM (Structure from Motion) or image orientation.