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Tri-view morphing

机译：三视图变形

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This paper presents an efficient image-based approach to navigate a scene based on only three wide-baseline uncalibrated images without the explicit use of a 3D model. After automatically recovering corresponding points between each pair of images, an accurate trifocal plane is extracted from the trifocal tensor of these three images. Next, based on a small number of feature marks using a friendly GUI, the correct dense disparity maps are obtained by using our trinocular-stereo algorithm. Employing the barycentric warping scheme with the computed disparity, we can generate an arbitrary novel view within a triangle spanned by three camera centers. Furthermore, after self-calibration of the cameras, 3D objects can be correctly augmented into the virtual environment synthesized by the tri-view morphing algorithm. Three applications of the tri-view morphing algorithm are demonstrated. The first one is 4D video synthesis, which can be used to fill in the gap between a few sparsely located video cameras to synthetically generate a video from a virtual moving camera. This synthetic camera can be used to view the dynamic scene from a novel view instead of the original static camera views. The second application is multiple view morphing, where we can seamlessly fly through the scene over a 2D space constructed by more than three cameras. The last one is dynamic scene synthesis using three still images, where several rigid objects may move in any orientation or direction. After segmenting three reference frames into several layers, the novel views in the dynamic scene can be generated by applying our algorithm. Finally, the experiments are presented to illustrate that a series of photo-realistic virtual views can be generated to fly through a virtual environment covered by several static cameras. (C) 2004 Elsevier Inc. All rights reserved.
机译：本文提出了一种有效的基于图像的方法来仅基于三幅宽基线未校准图像来导航场景，而无需明确使用3D模型。在自动恢复每对图像之间的对应点之后，从这三个图像的三焦点张量中提取出准确的三焦点平面。接下来，基于少量使用友好GUI的特征标记，使用我们的三目立体算法即可获得正确的密集视差图。利用具有计算出的视差的重心变形方案，我们可以在由三个相机中心跨越的三角形内生成任意新颖的视图。此外，在对相机进行自校准之后，可以将3D对象正确地增强到通过三视图变形算法合成的虚拟环境中。演示了三视图变形算法的三种应用。第一个是4D视频合成，可用于填补一些稀疏放置的摄像机之间的间隙，以从虚拟运动摄像机合成生成视频。该合成摄像机可用于从新颖的视图而不是原始的静态摄像机视图查看动态场景。第二个应用程序是多视图变形，我们可以在由三个以上摄像头构成的2D空间上无缝地在场景中飞行。最后一个是使用三个静止图像的动态场景合成，其中几个刚性对象可以沿任何方向或方向移动。将三个参考帧分成几层后，可以通过应用我们的算法来生成动态场景中的新颖视图。最后，通过实验表明，可以生成一系列逼真的虚拟视图，以飞越由多个静态相机覆盖的虚拟环境。 （C）2004 Elsevier Inc.保留所有权利。

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