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STRUCTURED-LIGHT-BASED DEPTH RECONSTRUCTION USING LOW-LIGHT PICO PROJECTOR

机译:基于微光PICO投影仪的基于结构光的深度重建

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In this work we investigate an infrared structured light prototype which is intended for 3D reconstruction in resource-restricted mobile applications. We explore the constraints on working range and pattern resolution that are imposed by the low-light property of our single-shot set-up. While focusing on the most light-sensitive steps of the decoding workflow, we suggest adaptations of image rectification, pattern generation and segmentation algorithms that are tailored to the specific spatial and radiometric requirements of our system. We incorporate two disparity estimation techniques based on codeword lookup and foreground/background segmentation into our system and analyze the effects of different algorithmic components on the overall runtime of our implementation.
机译:在这项工作中,我们研究了一种红外结构光原型,该原型旨在用于资源受限的移动应用中的3D重建。我们探讨了单次设置的弱光属性对工作范围和图案分辨率的限制。在着重于解码工作流程中最敏感的步骤时,我们建议根据我们系统的特定空间和辐射要求,对图像校正,模式生成和分割算法进行调整。我们将基于码字查找和前景/背景分割的两种视差估计技术结合到我们的系统中,并分析了不同算法组件对实现整体运行时的影响。

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