A canonical framework for sequences of images
A canonical framework for sequences of images
复制标题
图像序列的规范框架
DOI：
10.1109/wvrs.1995.476851
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发表时间：
1995
期刊：
影响因子：
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通讯作者：
Kalle Åström
中科院分区：
文献类型：
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作者：
Anders Heyden;Kalle Åström
本文讨论了由未标定的摄像机拍摄的刚性点目标的图像序列的分析问题。假设不同图像中的点之间的对应关系是已知的。本文介绍了一个新的框架，这个问题。在一系列的n个图像的对应点是相互相关的一个固定的n-线性形式。这种形式是一种对象不变属性，与相机相对于固定世界的运动密切相关。我们首先描述一个简化的设置，这些多线性形式更容易理解和分析。这种新配方的多线性形式，然后扩展到校准的情况下。这个公式使得摄像机运动，摄像机矩阵和多线性形式之间的连接和校准和未校准的情况下之间的相似性变得明显。这些新的想法，然后使用简单的线性方法从图像序列中提取相机运动。
This paper deals with the problem of analysing sequences of images of rigid point objects taken by uncalibrated cameras. It is assumed that the correspondences between the points in the different images are known. The paper introduces a new framework for this problem. Corresponding points in a sequence of n images are related to each other by a fixed n-linear form. This form is an object invariant property, closely linked to the motion of the camera relative to the fixed world. We first describe a reduced setting in which these multilinear forms are easier to understand and analyse. This new formulation of the multilinear forms is then extended to the calibrated case. This formulation makes apparent the connection between camera motion, camera matrices and multilinear forms and the similarities between the calibrated and uncalibrated cases. These new ideas are then used to derive simple linear methods for extracting camera motion from sequences of images.