参与设计一种用于表面检测的主动离焦深度相机

B. Buat, P. Trouvé-Peloux, F. Champagnat, T. Simon
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引用次数: 0

摘要

结构照明结合单目三维相机利用估计离焦模糊已在文献中提出用于工业表面检测。这种主动离焦深度(ADFD)系统的精度取决于相机/投影仪和处理参数。在这里,我们建议使用一个性能模型来优化ADFD系统的设置,该模型可以预测给定一组光学/投影仪/处理参数的理论深度估计精度。通过实验验证了优化后系统的精度。此外,我们提供了真实物体(包括金属部件)的实验结果,与主动立体相机获得的参考深度图进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Co-design of an active depth from defocus camera for surface inspection
Structured illumination combined with a monocular 3D camera leveraging on the estimation of the defocus blur has been proposed in the literature for industrial surface inspection. The accuracy of such active depth from defocus (ADFD) system depends on the camera/projector and processing parameters. Here, we propose to optimize the settings of an ADFD system, using a performance model that can predict the theoretical depth estimation accuracy for a given set of optical/projector/processing parameters. The accuracy of the optimized system is then experimentally evaluated. Moreover, we provide experimental results on real objects, including metallic parts, compared to a reference depth map obtained with an active stereoscopic camera.
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