Incremental Visual Hull Reconstruction
Incremental Visual Hull Reconstruction
复制标题
增量视觉船体重建
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Nassir Navab
中科院分区：
文献类型：
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作者：
A. Bigdelou;A. Ladikos;Nassir Navab
我们提出了一种新颖的算法，通过利用时间一致性来增量重建动态场景中的视觉外壳。利用两帧之间轮廓图像的差异，我们可以有效地定位必须使用光线投射更新的场景部分。通过仅关注场景中必须检查变化的部分，与独立重建每一帧的传统方法相比，我们实现了显着的加速。我们的方法不使用任何类型的场景模型，并且无论场景中对象的数量和形状如何，它都可以工作。我们在多摄像头系统拍摄的序列上测试我们的算法，并进行详细的性能分析，表明我们的方法优于其他现有方法。
We propose a novel algorithm for incrementally reconstructing the visual hull in dynamic scenes by exploiting temporal consistency. Using the difference in the silhouette images between two frames we can efficiently locate the scene parts that have to be updated using ray casting. By only concentrating on the parts of the scene that have to be checked for changes, we achieve a significant speed up over traditional methods, which reconstruct each frame independently. Our method does not use any kind of scene model and works regardless of the number and shape of the objects in the scene. We test our algorithm on sequences taken with a multi-camera system and perform a detailed performance analysis showing that our method outperforms other existing methods.