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Fairing of Discrete Surfaces with Boundary That Preserves Size and Qualitative Shape

机译:保留大小和定性形状的边界的离散曲面的光顺

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In this paper, we propose a new algorithm for fairing discrete surfaces resulting from stereo-based 3D reconstruction task. Such results are typically too dense, uneven and noisy, which is inconvenient for further processing. Our approach jointly optimises mesh smoothness and regularity. The definition is given on a discrete surface and the solution is found by discrete diffusion of a scalar function. Experiments on synthetic and real data demonstrate that the proposed approach is robust, stable, preserves qualitative shape and is applicable to even moderate-size real surfaces with boundary (0.8M vertices and 1.7M triangles).
机译:在本文中,我们提出了一种新的算法,用于对基于立体的3D重建任务产生的离散曲面进行光顺。这样的结果通常太密集,不均匀和嘈杂,这对于进一步的处理是不方便的。我们的方法共同优化了网格的平滑度和规则性。在离散表面上给出定义,并通过标量函数的离散扩散找到解决方案。对合成数据和真实数据进行的实验表明,该方法具有鲁棒性,稳定性,保留了定性形状,并且甚至适用于具有边界(0.8M顶点和1.7M三角形)的中等大小的真实表面。

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