Euclidean reconstruction from constant intrinsic parameters
Euclidean reconstruction from constant intrinsic parameters
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DOI：
10.1109/icpr.1996.546045
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发表时间：
1996-08
期刊：
影响因子：
--
通讯作者：
A. Heyden;Kalle Åström
中科院分区：
文献类型：
--
作者：
A. Heyden;Kalle Åström
本文提出了一种新的由未标定的摄像机拍摄的图像序列进行欧氏重建的方法，该方法具有恒定的内参数。我们的方法导致所谓的Kruppa方程的一个变种。它示出，它是可能的，以计算的内在参数，以及从至少三个图像的欧几里得重建。我们的方法的新奇在于，我们建立我们的计算上的投影重建获得不变的内在参数的假设。这个假设简化了分析，因为已经得到了一个射影重建，我们只需要在所有可能的射影重建中找到正确的欧几里得重建。
A new method for Euclidean reconstruction from sequences of images taken by uncalibrated cameras, with constant intrinsic parameters, is described. Our approach leads to a variant of the so called Kruppa equations. It is shown that it is possible to calculate the intrinsic parameters as well as the Euclidean reconstruction from at least three images. The novelty of our approach is that we build our calculation on a projective reconstruction obtained without the assumption on constant intrinsic parameters. This assumption simplifies the analysis, because a projective reconstruction is already obtained and we need "only" to find the correct Euclidean reconstruction among all possible projective reconstructions.