Spline-based image registration
Spline-based image registration
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DOI：
10.1023/a:1007996332012
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发表时间：
1997-03-01
影响因子：
19.5
通讯作者：
Coughlan, J
中科院分区：
文献类型：
--
作者：
Szeliski, R;Coughlan, J
图像配准的问题包含了多帧图像分析中的许多问题和技术，包括光流计算（一般基于像素的运动），立体对应，运动的结构和特征跟踪。我们提出了一种新的注册算法的基础上样条表示的位移场，可以专门解决上述所有问题。特别是，我们将展示如何计算本地流，全球（参数）流，刚性流导致摄像机egomotion，以及上述问题的多帧版本。使用基于样条的流描述消除了对重叠相关窗口的需要，并且产生相邻流估计之间的相关性的显式测量。我们展示了我们的算法在多帧图像配准和恢复三维投影场景的几何。MIE还提供了关于多个标准运动序列的结果。
The problem of image registration subsumes a number of problems and techniques in multiframe image analysis, including the computation of optic flow (general pixel-based motion), stereo correspondence, structure from motion, and feature tracking. We present a new registration algorithm based on spline representations of the displacement field which can be specialized to solve all of the above mentioned problems. In particular, we show how to compute local flow, global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of the above problems. Using a spline-based description of the flow removes the need for overlapping correlation windows, and produces an explicit measure of the correlation between adjacent flow estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D projective scene geometry. mie also provide results on a number of standard motion sequences.