Advancing Digital Twin Generation Through a Novel Simulation Framework and Quantitative Benchmarking
Year: 2026
Type: article
Abstract: The generation of 3D models from real-world objects has often been accomplished through photogrammetry, i.e., by taking 2D photos from a variety of perspectives and then triangulating matched point-based features to create a textured mesh. Many design choices exist within this framework for the generation of digital twins, and differences between such approaches are largely judged qualitatively. Here, we present and test a novel pipeline for generating synthetic images from high-quality 3D models and programmatically generated camera poses. This enables a wide variety of repeatable, quantifiable experiments which can compare ground-truth knowledge of virtual camera parameters and of virtual objects against the reconstructed estimations of those perspectives and subjects.
DOI: 10.13016/m26vkp-qxv0
Authors: Rubinstein, Jacob, Donaty, Avi, Engel, Don
Language: English
Subfield: Geology
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7141623327
FWCI:
Cites:
Cited by:
Related to: