This repository contains the upcoming implementation of the albedo recovery approach described in the paper: A general albedo recovery approach for aerial photogrammetric images through inverse rendering.
This work extends our prior work “A Novel Intrinsic Image Decomposition Method to Recover Albedo for Aerial Images in Photogrammetry Processing” presented at the ISPRS Congress 2022.
dreeselab_video.mp4
goodale_video.mp4
| Original Texture | Agisoft Delighter | Ours |
metashape0001-0096.mp4 |
delighter0001-0096.mp4 |
ours0001-0096.mp4 |
Thank you for your interest in our work. We look forward to sharing our tools and seeing the amazing results you achieve with them!
We are actively working on preparing the code for public release. Below is our planned release roadmap:
| Milestone | Planned Date | Status |
|---|---|---|
| Synthetic dataset release | 2024/11 | Preparing |
| Run Code release | 2024/12 | Pending |
| Evaluation and Experiments | 2025/02 | Pending |
@article{SONG2024101,
title = {A general albedo recovery approach for aerial photogrammetric images through inverse rendering},
journal = {ISPRS Journal of Photogrammetry and Remote Sensing},
volume = {218},
pages = {101-119},
year = {2024},
issn = {0924-2716},
doi = {https://doi.org/10.1016/j.isprsjprs.2024.09.001},
url = {https://www.sciencedirect.com/science/article/pii/S0924271624003319},
author = {Shuang Song and Rongjun Qin},
keywords = {Inverse rendering, Albedo recovery, Aerial photogrammetry, Shading, Ray-tracing, Dense matching},
}@Article{isprs-annals-V-2-2022-23-2022,
AUTHOR = {Song, S. and Qin, R.},
TITLE = {A NOVEL INTRINSIC IMAGE DECOMPOSITION METHOD TO RECOVER ALBEDO FOR AERIAL IMAGES IN PHOTOGRAMMETRY PROCESSING},
JOURNAL = {ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
VOLUME = {V-2-2022},
YEAR = {2022},
PAGES = {23--30},
URL = {https://isprs-annals.copernicus.org/articles/V-2-2022/23/2022/},
DOI = {10.5194/isprs-annals-V-2-2022-23-2022}
}Shuang Song: song.1634@osu.edu Rongjun Qin: qin.324@osu.edu