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Using disparity in digital holograms for three-dimensional object segmentation

机译:在数字全息图中使用视差进行三维对象分割

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摘要

Digital holography allows one to sense and reconstruct the amplitude and phase of a wavefront reflected from or transmitted through a real-world three-dimensional (3D) object. However, some combinations of hologram capture setup and 3D object pose problems for the reliable reconstruction of quantitative phase information. In particular, these are cases where the twin image or noise corrupts the reconstructed phase. In such cases it is usual that only amplitude is reconstructed and used as the basis for metrology. A focus criterion is often applied to this reconstructed amplitude to extract depth information from the sensed 3D scene. In this paper we present an alternative technique based on applying conventional stereo computer vision algorithms to amplitude reconstructions. In the technique, two perspectives are reconstructed from a single hologram, and the stereo disparity between the pair is used to infer depth information for different regions in the field of view. Such an approach has inherent simplifications in digital holography as the epipolar geometry is known a priori. We show the effectiveness of the technique using digital holograms of real-world 3D objects. We discuss extensions to multi-view algorithms, the effect of speckle, and sensitivity to the depth of field of reconstructions.
机译:数字全息术使人们能够感测和重建从真实世界的3D对象反射或透射的波前的幅度和相位。但是,全息图捕获设置和3D对象的某些组合会给定量相位信息的可靠重建带来问题。特别地,在这些情况下,孪生图像或噪声破坏了重建相位。在这种情况下,通常仅重构振幅并将其用作度量基础。通常将聚焦标准应用于此重构的振幅,以从感测到的3D场景中提取深度信息。在本文中,我们提出了一种基于将常规立体计算机视觉算法应用于幅度重建的替代技术。在该技术中,从单个全息图重建了两个透视图,并且该对之间的立体视差用于推断视场中不同区域的深度信息。由于对极几何是先验的,所以这种方法在数字全息术中具有固有的简化。我们使用现实3D对象的数字全息图展示了该技术的有效性。我们讨论了多视图算法的扩展,散斑的影响以及对重建景深的敏感性。

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