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Filling holes on locally smooth surfaces reconstructed from point clouds

机译:从点云重建的局部光滑表面上的填充孔

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摘要

Creating models of real scenes is a complex task for which the use of traditional modeling techniques is inappropriate. For this task, laser rangefinders are frequently used to sample the scene from several viewpoints, with the resulting range images integrated into a final model. In practice, due to surface reflectance properties, occlusions and accessibility limitations, certain areas of the scenes are usually not sampled, leading to holes and introducing undesirable artifacts in the resulting models. We present an algorithm for filling holes on surfaces reconstructed from point clouds. The algorithm is based on moving least squares and can interpolate both geometry and shading information. The reconstruction process is mostly automatic and the sampling rate of the given samples is preserved in the reconstructed areas. We demonstrate the use of the algorithm on both real and synthetic datasets to obtain complete geometry and plausible shading.
机译:创建真实场景的模型是一项复杂的任务,使用传统的建模技术是不合适的。为此,经常使用激光测距仪从多个视点对场景进行采样,并将生成的测距图像集成到最终模型中。在实践中,由于表面反射特性,遮挡和可访问性限制,通常不会对场景的某些区域进行采样,这会导致孔洞并在生成的模型中引入不良的伪像。我们提出了一种算法,用于填充从点云重构的表面上的孔。该算法基于移动最小二乘法,并且可以插值几何和阴影信息。重建过程大部分是自动的,给定样本的采样率保留在重建区域中。我们演示了在真实和合成数据集上使用该算法以获得完整的几何图形和合理的阴影。

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