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ENTITY Fringe projection profilometry with nonparallel illumination: a least-squares approach

Fringe projection profilometry with nonparallel illumination: a least-squares approach

PulseAugur coverage of Fringe projection profilometry with nonparallel illumination: a least-squares approach — every cluster mentioning Fringe projection profilometry with nonparallel illumination: a least-squares approach across labs, papers, and developer communities, ranked by signal.

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  1. TOOL · CL_284835 ·

    AI enhances 3D scanning accuracy with new RACE-FPP method

    Researchers have developed RACE-FPP, a novel AI-assisted pipeline for enhancing the characterization of Fringe Projection Profilometry (FPP) systems. This method integrates deep learning-based corner detection into the …

  2. RESEARCH · CL_195826 ·

    New method improves 3D imaging uncertainty modeling

    Researchers have developed a novel method for creating per-point covariance fields in 3D imaging, specifically addressing limitations in fringe projection profilometry. This sensor-informed approach accurately models an…

  3. TOOL · CL_147826 ·

    New FPP Framework Corrects Phase Errors Using Ray-Based Projection

    Researchers have developed a novel ray-based phase error correction framework for miniaturized Fringe Projection Profilometry (FPP) systems. This approach models phase artifacts along projection rays, integrating projec…

  4. TOOL · CL_85015 ·

    New method improves 3D scanning accuracy and consistency

    Researchers have developed a new method for fringe projection profilometry that improves spatial consistency in depth reconstruction. This technique couples phase-to-depth transformations across pixels, using a shared l…

  5. TOOL · CL_77434 ·

    NVIDIA Isaac Sim gains virtual sensor for 3D surface reconstruction

    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 reconst…