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As-consistent-As-possible compositing of virtual objects and video sequences

机译：虚拟对象和视频序列的尽可能一致的合成

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摘要

We present an efficient approach that merges the virtual objects into video sequences taken by a freely moving camera in a realistic manner. The composition is visually and geometrically consistent through three main steps. First, a robust camera tracking algorithm based on key frames is proposed, which precisely recovers the focal length with a novel multi-frame strategy. Next, the concerned 3D models of the real scenes are reconstructed by means of an extended multi-baseline algorithm. Finally, the virtual objects in the form of 3D models are integrated into the real scenes, with special cares on the interaction consistency including shadow casting, occlusions, and object animation. A variety of experiments have been implemented, which demonstrate the robustness and efficiency of our approach.
机译：我们提出一种有效的方法，将虚拟对象合并为以逼真的方式自由移动的摄像头拍摄的视频序列。通过三个主要步骤，组成在视觉和几何上是一致的。首先，提出了一种基于关键帧的鲁棒相机跟踪算法，该算法利用新颖的多帧策略精确地恢复了焦距。接下来，借助于扩展的多基线算法，重建有关真实场景的3D模型。最后，将3D模型形式的虚拟对象集成到真实场景中，并特别注意交互一致性，包括阴影投射，遮挡和对象动画。已经进行了各种实验，这些实验证明了我们方法的鲁棒性和效率。

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