图像序列的规范框架

A. Heyden, K. Astrom
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引用次数: 39

摘要

本文研究了非标定相机拍摄的刚性点目标图像序列分析问题。假设不同图像中点之间的对应关系是已知的。本文为该问题引入了一个新的框架。n个图像序列中的对应点以固定的n线性形式相互关联。这种形式是物体的不变性,与相机相对于固定世界的运动密切相关。我们首先描述了一个简化的设置,其中这些多线性形式更容易理解和分析。然后将这种新的多线性形式的公式推广到校准的情况。这个公式明确了摄像机运动、摄像机矩阵和多线性形式之间的联系,以及校准和未校准情况之间的相似性。这些新思想随后被用于从图像序列中提取相机运动的简单线性方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A canonical framework for sequences of images
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.
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