A pipeline combining NeRF 3D reconstruction, MPM simulation, and Bayesian optimization recovers sand friction angle from rendered images with mean absolute errors between 0.64 and 1.38 degrees in synthetic tests.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
From images to properties: a NeRF-driven framework for granular material parameter inversion
A pipeline combining NeRF 3D reconstruction, MPM simulation, and Bayesian optimization recovers sand friction angle from rendered images with mean absolute errors between 0.64 and 1.38 degrees in synthetic tests.