Method and device for generating enhanced high-fidelity three-dimensional digital duplicates of real-world objects

WO2025014742A3 Publication Date: 2025-03-27RADY MAX ADEL
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Patent Information

Application Number
PCT/US2024/036711
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Priority Date
2023-07-07
Filing Date
2024-07-03
Publication Date
2025-03-27

AI Technical Summary

Technical Problem

Current methods for generating three-dimensional digital duplicates of real-world objects lack the accuracy in material composition analysis and layering structure discernment, especially for materials with complex reflectance, transmittance, and absorption properties, limiting their fidelity and detail in geometric capture.

Method used

The method employs spectral imaging, 3-D scanning, and polarization filters to analyze real-world objects, combining these techniques for a fifth-dimensional object acquisition system that produces high-fidelity digital representations by accounting for polarization attributes and material layering structures, allowing for enhanced geometric and spectral data capture.

Benefits of technology

This approach results in high-quality, wave and quantum-optics-accurate digital twins that reflect physical stress patterns and multi-layered material properties, providing improved detail and accuracy in material composition analysis, suitable for applications requiring physically correct material properties and display, such as game engines and physics simulations.

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Abstract

A device and method for generating enhanced high-fidelity three-dimensional digital copies of real-world objects using a spectral imager, a range scanner, one or more polarizers and a mechanism of movement to move the real-world object and assessment devices relative to one another to allow a 360-degree assessment of the real-world object to determine the spectral hypercube data of the real-world object, including identifying individual layer composition and structure in multi-layered objects, and determining each layer at which sub-surface anomalies, defects, imperfections, noise and geometric irregularities in composition of the real-world object exist.
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