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Calibration and correction of vignetting effects with an application to 3D mapping

机译:渐晕效果的校准和校正及其在3D贴图中的应用

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Cheap RGB-D sensors are ubiquitous in robotics. They typically contain a consumer-grade color camera that suffers from significant optical nonlinearities, often referred to as vignetting effects. For example, in Asus Xtion Live Pro cameras the pixels in the corners are two times darker than those in the center of the image. This deteriorates the visual appearance of 3D maps built with such cameras. We propose a simple calibration method that only requires a sheet of white paper as a calibration object and allows to reliably recover the vignetting response of a camera. We demonstrate calibration results for multiple popular RGB-D sensors and show that removal of vignetting effects using a nonparametric response model results in improved color coherence of the reconstructed maps. Furthermore, we show how to effectively compensate color variations caused by automatic white balance and exposure time control of the camera.
机译:廉价的RGB-D传感器在机器人技术中无处不在。它们通常包含一个消费级彩色相机,该相机遭受严重的光学非线性,通常被称为渐晕效果。例如,在Asus Xtion Live Pro相机中,角落的像素比图像中心的像素暗两倍。这会降低使用此类相机构建的3D地图的视觉外观。我们提出了一种简单的校准方法,该方法仅需要一张白纸作为校准对象,并可以可靠地恢复相机的渐晕响应。我们演示了多个流行的RGB-D传感器的校准结果,并显示了使用非参数响应模型消除渐晕效果会改善重建图的颜色相干性。此外,我们展示了如何有效补偿由于相机的自动白平衡和曝光时间控制而引起的色彩变化。

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