Combining photometric normals and multi-view stereo for 3D reconstruction
Combining photometric normals and multi-view stereo for 3D reconstruction
复制标题
DOI：
10.1145/2824840.2824846
复制
发表时间：
2015-11
期刊：
影响因子：
--
通讯作者：
Martin P. Grochulla;Thorsten Thormählen
中科院分区：
文献类型：
--
作者：
Martin P. Grochulla;Thorsten Thormählen
本文提出了一种新的中等大小物体的三维重建方法，结合了多视角立体和光度法向估计的优点。被检查的对象的图像被并行地与多个同步相机一起拍摄，同时对象被放置在产生用于正常估计的时变球面梯度照明的照明设置中。与现有方法相比，法线信息不仅用于细化初步立体重建。相反，它表明，正常的信息允许显着增加立体匹配，这大大提高了鲁棒性相比，经典的窗口匹配在图像域中的窗口大小。因此，不再需要立体重建的典型平滑度约束。我们提出的方法是非常简单的实现，并有几分钟的计算时间。对真实的和合成数据的评价表明，该方法具有较高的重建精度。
In this paper a novel approach for 3D reconstruction of mid-sized objects is proposed that combines the advantages of multi-view stereo and photometric normal estimation. Images of an inspected object are taken in parallel with multiple synchronized cameras while the object is placed in an illumination setup that produces time-varying spherical gradient illumination for normal estimation. In contrast to existing approaches, the normal information is not only used to refine the preliminary stereo reconstruction. Instead, it is shown that the normal information allows to significantly increase the window size for stereo matching, which strongly improves robustness compared to classical window matching in the image domain. As a consequence, smoothness constraints, which are typical for stereo reconstructions, are no longer required. Our proposed method is comparably simple to implement and has a computation time of a few minutes. The evaluation on real and synthetic data demonstrates that detailed reconstructions with high accuracy are obtained.