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3D manipulation of motion imagery

机译:运动图像的3D操纵

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摘要

We present a set of automatic methods for the recovery and refinement of 3D scene geometry and camera poses from motion imagery. First, we present a two-frame "direct" method, which simultaneously estimates both relative pose between the cameras and 3D scene geometry using information from the images alone. Second, we discuss how to automatically estimate pose and scene geometry using extended sequences. Third, we present methods for recovery of pose when a scene model is known a priori. We show how the recovered pose can be use to extend and refine the scene model. Finally, we present applications of the above techniques for 3D imagery manipulation such as enhanced visualization of video, synthetic view generation and insertion of synthetic objects in the imagery.
机译:我们提出了一套用于从运动图像中恢复和完善3D场景几何和相机姿态的自动方法。首先,我们提出一种两帧“直接”方法,该方法同时使用仅来自图像的信息来估计相机之间的相对姿势和3D场景几何形状。其次,我们讨论如何使用扩展序列自动估计姿势和场景的几何形状。第三,当场景模型是先验的时,我们提出了恢复姿势的方法。我们展示了如何使用恢复的姿势扩展和完善场景模型。最后,我们介绍了上述技术在3D图像处理中的应用,例如增强的视频可视化,合成视图的生成以及合成对象在图像中的插入。

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