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Real-Time Spatial and Depth Upsampling for Range Data

机译:范围数据的实时空间和深度上采样

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Current active 3D range sensors, such as time-of-flight cameras, enable acquiring of range maps at video frame rate. Unfortunately, the resolution of the range maps is quite limited and the captured data are typically contaminated by noise. We therefore present a simple pipeline to enhance the quality as well as improve the spatial and depth resolution of range data in real time. To improve the spatial resolution of range data, we first upsample the depth information with the data from high resolution video camera. And then, a new strategy is utilized to increase the sub-pixel accuracy. We show that these techniques can greatly improve the reconstruction quality, boost the resolution of the range data to that of video sensor while achieving high computational efficiency for a real-time application.
机译:当前的有源3D距离传感器(例如飞行时间相机)能够以视频帧速率获取距离图。不幸的是,距离图的分辨率非常有限,并且捕获的数据通常被噪声污染。因此,我们提出了一种简单的管道来提高质量,并实时提高范围数据的空间和深度分辨率。为了提高距离数据的空间分辨率,我们首先使用高分辨率摄像机的数据对深度信息进行上采样。然后,采用新策略来提高子像素精度。我们表明,这些技术可以极大地提高重建质量,将范围数据的分辨率提高到视频传感器的分辨率,同时为实时应用实现高计算效率。

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