Travis Driver
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pretty_name: Photoclinometry-from-Motion (PhoMo)
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size_categories:
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- n<1K
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pretty_name: Photoclinometry-from-Motion (PhoMo)
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size_categories:
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- n<1K
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---
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<div align="center">
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<img src="assets/phomo.png" alt="logo" width="400">
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<h1>Photoclinometry-from-Motion (PhoMo)</h1>
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<a href="https://huggingface.co/datasets/travisdriver/phomo-data"><img src="https://img.shields.io/badge/🤗-Hugging%20Face-yellow.svg" alt="HuggingFace"></a>
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<a href="https://arxiv.org/abs/2504.08252"><img src="https://img.shields.io/badge/arXiv-2504.08252-b31b1b" alt="arXiv"></a>
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[Travis Driver](https://travisdriver.github.io/), [Andrew Vaughan](https://www.linkedin.com/in/andrewtvaughan/), [Yang Cheng](https://www-robotics.jpl.nasa.gov/who-we-are/people/yang_cheng/), [Adnan Ansar](https://www-robotics.jpl.nasa.gov/who-we-are/people/adnan_ansar/), [John Christian](https://ae.gatech.edu/directory/person/john-christian), [Panagiotis Tsiotras](https://ae.gatech.edu/directory/person/panagiotis-tsiotras)
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</div>
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#### This is the official repository for [Stereophotoclinometry Revisited](https://arxiv.org/abs/2504.08252), which is currently under review for publication to AIAA's [Journal of Guidance, Control, and Dynamics (JGCD)](https://arc.aiaa.org/loi/jgcd)
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**Photoclinometry-from-Motion (PhoMo)** is a framework for _autonomous_ image-based surface reconstruction and characterization of small celestial bodies. PhoMo integrates photoclinometry into a structure-from-motion (SfM) pipeline that leverages deep learning-based keypoint extraction and matching (i.e., [RoMa](https://github.com/Parskatt/RoMa)) to enable _simultaneous_ optimization of the spacecraft pose, landmark positions, Sun vectors, and surface normals and albedos.
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If you find our datasets or results useful for your research, please use the following citation:
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```bibtex
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@article{driver2025phomo,
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title={Stereophotoclinometry Revisited},
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author={Driver, Travis and Vaughan, Andrew and Cheng, Yang, and Ansar, Adnan and Christian, John and Tsiotras, Panagiotis},
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journal={arXiv:2504.08252},
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year={2025},
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pages={1--45}
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}
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```
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assets/phomo.png
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