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首页> 外文期刊>International Journal of Intelligent Systems Technologies and Applications >Calibration of focal length and 3D pose based on the reflectance and depth image of a planar object
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Calibration of focal length and 3D pose based on the reflectance and depth image of a planar object

机译:根据平面物体的反射率和深度图像校准焦距和3D姿势

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摘要

The estimation of position and orientation of a Photonic Mixer Device (PMD) camera in a global reference frame is required by many measurement applications based on such systems. PMD cameras produce a depth as well as a reflectance image of low resolution compared to standard optical cameras, so that calibration of the cameras based on the reflectance image alone is difficult. We will present a novel approach for calibrating the focal length and 3D pose of a PMD camera based on the depth and reflectance image of a planar checkerboard pattern. By integrating both sources of information higher accuracies can be achieved. Furthermore, one single image is sufficient for calibrating the focal length as well as the 3D pose from a planar reference object. This is because the depth measurements are orthogonal to the lateral intensity measurements and provide direct metric information.
机译:基于此类系统的许多测量应用程序都需要估计全局参考框架中的光子混合器(PMD)摄像机的位置和方向。与标准光学相机相比,PMD相机会产生深度以及分辨率较低的反射率图像,因此仅基于反射率图像对相机进行校准很困难。我们将提出一种基于平面棋盘图案的深度和反射率图像来校准PMD相机的焦距和3D姿态的新颖方法。通过整合两种信息来源,可以实现更高的准确性。此外,一个单一图像足以校准焦距以及来自平面参考物体的3D姿势。这是因为深度测量与横向强度测量正交,并提供直接的度量信息。

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