从运动模糊中估计相机的特性

Alastair Barber, Matthew A. Brown, Paul Hogbin, D. Cosker
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引用次数: 1

摘要

估计相机参数的变化,如运动,焦距和曝光时间在单帧或帧序列是许多计算机视觉应用的一个组成部分。这些参数的快速变化通常会导致图像中出现运动模糊,这使得传统的特征识别和跟踪方法变得困难。本文提出了一种估算单帧运动模糊图像焦距变化引起的尺度变化的方法。我们还使用两种不同方法的结果来确定一对运动模糊帧的旋转,以估计帧的曝光时间(即快门角度)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimating camera intrinsics from motion blur
Estimating changes in camera parameters, such as motion, focal length and exposure time over a single frame or sequence of frames is an integral part of many computer vision applications. Rapid changes in these parameters often cause motion blur to be present in an image, which can make traditional methods of feature identification and tracking difficult. Here we present a method for estimating the scale changes brought about by change in focal length from a single motion-blurred frame. We also use the results from two seperate methods for determining the rotation of a pair of motion-blurred frames to estimate the exposure time of a frame (i.e. the shutter angle).
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