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Object Distance Estimation Using a Single Image Taken from a Moving Rolling Shutter Camera

机译:使用从移动滚动快门相机拍摄的单个图像的对象距离估计

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摘要

This paper proposes a technique to estimate the distance between an object and a rolling shutter camera using a single image. The implementation of this technique uses the principle of the rolling shutter effect (RSE), a distortion within the rolling-shutter-type camera. The proposed technique has a mathematical strength compared to other single photo-based distance estimation methods that do not consider the geometric arrangement. The relationship between the distance and RSE angle was derived using the camera parameters (focal length, shutter speed, image size, etc.). Mathematical equations were derived for three different scenarios. The mathematical model was verified through experiments using a Nikon D750 and Nikkor 50 mm lens mounted on a car with varying speeds, object distances, and camera parameters. The results show that the mathematical model provides an accurate distance estimation of an object. The distance estimation error using the RSE due to the change in speed remained stable at approximately 10 cm. However, when the distance between the object and camera was more than 10 m, the estimated distance was sensitive to the RSE and the error increased dramatically.
机译:本文提出了一种用单个图像估计物体与滚动快门相机之间的距离的技术。该技术的实现使用滚动快门效果(RSE)的原理,滚动快门型相机内的失真。与不考虑几何布置的其他基于照片的距离估计方法相比,所提出的技术具有数学强度。使用相机参数(焦距,快门速度,图像尺寸等)导出距离和RSE角度之间的关系。为三种不同场景导出数学方程。通过使用尼康D750和Nikkor 50毫米镜头安装在车辆上的实验来验证数学模型,该仪表在具有不同速度,对象距离和相机参数的汽车上。结果表明,数学模型提供了对象的准确距离估计。由于速度的变化导致的距离估计误差保持稳定在大约10厘米。然而,当物体和相机之间的距离超过10μm时,估计距离对RSE敏感,并且误差急剧增加。

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