本文所要研究的就是对从不同视角拍摄的有关同一场景的多个不同视角的图像进行匹配的问题，即多视角图像配准问题。
This work is to research the problem of matching images which are got from the same scene in different views, that is, the problem of multi-view image registration.
配准问题的目的就是将同一场景的不同图像对齐或匹配，消除存在的几何畸变。
Basically, the goal of image registration is to align images of same scene by removal of the potential geometrical distortion existed.
并通过对室内、室外和古建等场景的三维配准实验，证明算法的鲁棒性。
The experiments of multiple range data registration from indoor scenes, outdoor scenes and ancient buildings were done, and the results show the proposed algorithm is robust.
在基于标志物的视觉跟踪系统中，本文对真实场景中标志物的选取和识别、摄像机标定、以及虚实物体配准等相关问题进行了论述和实现。
For visual-based tracking system, the paper discusses and carries out the selection and identification of the Marker, camera calibration and the virtual-reality registration.
在基于标志物的视觉跟踪系统中，本文对真实场景中标志物的选取和识别、摄像机标定、以及虚实物体配准等相关问题进行了论述和实现。
For visual-based tracking system, the paper discusses and carries out the selection and identification of the Marker, camera calibration and the virtual-reality registration.
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