Simulation framework supports structured light 3D measurement and dataset generation, highlighting algorithm evaluation.
We present a MATLAB‐based simulation framework for structured light 3D measurement, designed to model complex scenarios and support algorithm evaluation and dataset generation. While structured light methods are widely used for 3D acquisition, existing simulation tools are limited to specific hardware or narrow use cases, restricting their utility. Our work addresses this gap by introducing (1) a unified abstract model that modularizes and encapsulates heterogeneous system components, balancing flexibility with consistent behavioral implementation, and (2) an open‐architecture framework centered on a task‐scheduling arbitrator, enabling scalable and evolvable simulations. The framework's design prioritizes practical extensibility, offering developers a reusable “how‐to” model for building customizable simulations. We detail its implementation challenges and solutions, demonstrating how our approach reduces development overhead while accommodating diverse measurement scenarios. By enabling large‐scale synthetic data generation and performance testing, the tool benefits both traditional algorithm designers and data‐driven 3D vision pipelines. This work contributes a reusable software foundation for the 3D measurement community, with insights applicable to other simulation‐driven domains.
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Hu et al. (2025) studied this question.
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