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Depth data calibration and enhancement of time-of-flight video-plus-depth camera

机译:深度数据校准和飞行时间视频加深度相机的增强

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In this paper, we present a method to calibrate and enhance depth information captured by an infrared (IR)-based time-of-flight video-plus-depth camera called “Kinect camera”. For depth data calibration, we use color and IR images of a chessboard with on-off halogen light sources to calculate camera parameters of the video and IR sensors in the Kinect camera. For depth data enhancement, we introduce weighted joint bilateral filtering based on distance transform of the color and depth images. Experimental results show that our method calibrates the video and depth sensors successfully and reduces the noise in captured depth images efficiently.
机译:在本文中,我们提出了一种用于校准和增强由基于红外(IR)的飞行时间视频加深度相机(称为“ Kinect相机”)捕获的深度信息的方法。对于深度数据校准,我们使用带有开关卤素灯的棋盘的彩色和红外图像来计算Kinect摄像机中视频和红外传感器的摄像机参数。对于深度数据增强,我们引入了基于彩色和深度图像的距离变换的加权联合双边滤波。实验结果表明,我们的方法成功地校准了视频和深度传感器,并有效地减少了捕获的深度图像中的噪声。

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