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3D scanning of object surfaces using structured light and a single camera image

机译:使用结构化光和单个摄像机图像对对象表面进行3D扫描

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We present a novel low-cost device for scanning object surfaces based on structured LED (Light Emitting Diode) light and a single, monocular image from a standard machine vision camera. During the calibration phase we find the displacement of the imaged LED-projected marker points as a function of depth. Using this displacement data and a suitable interpolation technique, the depth of surface points can be derived from a single image. Using this depth information one can derive the 3D coordinates of points corresponding to all the detected marker points in the camera image. We present the conditions for an unambiguous determination of the depth. The system has been tested under realistic factory hall conditions in an automated bin picking scenario using a vision guided robot.
机译:我们提出了一种新颖的低成本设备,用于基于结构化的LED(发光二极管)光和来自标准机器视觉相机的单眼图像来扫描物体表面。在校准阶段,我们发现成像的LED投影标记点的位移是深度的函数。使用此位移数据和合适的插值技术,可以从单个图像得出表面点的深度。使用该深度信息,可以得出与照相机图像中所有检测到的标记点相对应的点的3D坐标。我们提出了明确确定深度的条件。该系统已在实际工厂车间条件下使用视觉引导机器人在自动垃圾箱拣选场景中进行了测试。

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