VIRTUS-FPP: Virtual Sensor Modeling for Fringe Projection Profilometry in NVIDIA Isaac Sim
Researchers have developed VIRTUS-FPP, a novel framework for simulating fringe projection profilometry (FPP) within NVIDIA Isaac Sim. This tool enables the creation of high-fidelity synthetic data for 3D surface reconstruction, bypassing the need for complex physical calibration and experimentation. The framework accurately models the entire FPP pipeline, from light projection to 3D reconstruction, demonstrating sub-millimeter accuracy in simulations. AI
IMPACT Enables high-fidelity synthetic data generation for robotics perception and sensor design, potentially accelerating simulation-to-reality transfer.