Symmetric multi-view stereo reconstruction from planar camera arrays
Symmetric multi-view stereo reconstruction from planar camera arrays
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DOI：
10.1109/cvpr.2008.4587425
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发表时间：
2008-06
期刊：
影响因子：
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通讯作者：
M. Maitre;Y. Shinagawa;M. Do
中科院分区：
文献类型：
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作者：
M. Maitre;Y. Shinagawa;M. Do
提出了一种从平面相机阵列进行表面重构的立体算法。它结合了普通相机阵列和矫正双目设置的优点，可以像前者一样恢复大的表面，并像后者一样执行高效的计算。首先，我们引入了一种校正算法，使相机阵列的设计更加自由，并简化了光度和几何计算。然后，我们定义了一组新的数据融合函数在4个邻域的相机，它对待所有的相机对称，并使标准双目立体算法处理任意数量的相机阵列。特别是，我们引入了一个光度融合函数，该函数处理部分可见性，并沿水平和垂直基线提取深度信息。最后，我们证明了分层深度图像和具有深度的精灵可以有效地从校正后的三维空间中提取出来。在真实图像上的实验结果证实了该方法的有效性，在筑波上重建的密集表面比实际大20%。
We present a novel stereo algorithm which performs surface reconstruction from planar camera arrays. It incorporates the merits of both generic camera arrays and rectified binocular setups, recovering large surfaces like the former and performing efficient computations like the latter. First, we introduce a rectification algorithm which gives freedom in the design of camera arrays and simplifies photometric and geometric computations. We then define a novel set of data-fusion functions over 4-neighborhoods of cameras, which treat all cameras symmetrically and enable standard binocular stereo algorithms to handle arrays with arbitrary number of cameras. In particular, we introduce a photometric fusion function which handles partial visibility and extracts depth information along both horizontal and vertical baselines. Finally, we show that layered depth images and sprites with depth can be efficiently extracted from the rectified 3D space. Experimental results on real images confirm the effectiveness of the proposed method, which reconstructs dense surfaces larger by 20% on Tsukuba.